Dr. Yifan Xu at UT-ORII seeks motivated Ph.D. students starting Spring or Fall 2027 for interdisciplinary research in physical AI, robotics, and construction engineering. Candidates need backgrounds in engineering or CS, programming skills, and interest in robotics, perception, or learning. Preferred experience includes ROS, simulation platforms, reinforcement learning, and publications. Email CV, transcripts, and research interests.

We are recruiting two PhD Research Fellow/Assistant(s) in secure hardware and microarchitectural design for AI/Robotics positions at the SPIRE Lab at George Mason University. These positions will provide fully funded student support for two PhD students in the lab. The students will work on projects in secure accelerator design and GPU-based vulnerability exploits and mitigation techniques in the robotics and agentic AI-based application domains.

I am looking for motivated students interested in pursuing Ph.D. research in operations research and optimization with applications in healthcare in the Industrial & Systems Engineering Department at the University of Florida.

Required Qualifications:
1. B.S/B.A. and M.S./M.A. degrees in operations research, mathematics, industrial engineering, or related fields, with a GPA of 3.75 or higher. (No exception)
2. Strong motivation and commitment to research; attention to detail; strong work ethic; excellent communication and teamwork skills.
3. Solid knowledge of or strong interest in courses such as operations research, optimization, mathematical analysis, real analysis, stochastic modeling, and statistical learning, with grades of A.
4. Knowledge of or interest in machine learning methods (e.g., tree-based methods, neural networks, reinforcement learning), with grades of A.
5. Proficiency in Python or MATLAB.

Preferred Qualifications:
1. Research experience and/or journal publications.
2. A completed Master’s degree in the above-mentioned fields.
3. Experience in operations research and optimization.
4. Residency in the United States (preferred).

How to Apply:
If you are interested and qualified, please contact me only via email at f.nosrat@ufl.edu with the subject line: “Fall 2027 PhD Position” and include:
1. A very brief self-introduction (50 words)
2. Resume/CV
3. GRE/TOEFL scores (if available)
4. Unofficial transcripts (undergraduate and graduate)
5. Work samples and/or publication examples

Please do not send long AI-generated emails (only 50 words).

More information about my research can be found here: https://sites.google.com/ufl.edu/fatemeh-nosrat-ufl/home/publications.

Dr. Yaqi Xie is joining UIUC as an Assistant Professor in ECE (and affiliate in CS) and is actively recruiting PhD students, interns, and postdocs to join her lab.

Her work at the Robotics Institute at CMU focuses on human-AI synergy through neuro-symbolic fusion — building trustworthy robot partners with knowledge-guided world models.

If you're interested, contact: yaqixie.ai@gmail.com with your CV and research interests.
More info: yaqi-xie.me

#UIUC #Robotics #AI #PhDpositions #HumanAI #NeuroSymbolic

The Energy Control and Optimization Laboratory (ECO Lab) at the University of New Hampshire (UNH), led by Prof. Arezoo Hasankhani, is seeking motivated candidates for two PhD positions starting Fall 2026/Spring 2027.

🚀Focus Areas:
Project 1 – Cybersecurity for marine cyber-physical systems
Project 2 – Control for marine cyber-physical systems

📄 How to Apply:
See the attached PDF for full details. Submit a single PDF (CV, optional publication) to arezoo.hasankhani@unh.edu with the subject line: “Prospective PhD Student – Project 1” or “Prospective PhD Student – Project 2”.

The Building & Environmental Thermal Systems research group (BETRSG) and Center for Integrated Building Systems (CIBS) in the School of Mechanical and Aerospace Engineering at Oklahoma State University are seeking motivated PhD students to join our team in Spring 2027. Our research spans building science and technology, heat pumps and refrigeration, HVAC and building thermal systems, and advanced thermal-management and cooling technologies.

Recruiting one or two fully funded Ph.D. students to join the Computing and Robotics Construction (CaRC) Lab in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University.
The positions may start in Fall 2026, January 2027, or at another date upon negotiation.

The students will work in one or more of the following research areas:
• Construction automation and robotics
• Artificial intelligence in construction
• Computer vision and generative AI applications in construction
• Modular and prefabricated construction
• BIM and digital twins
• Blockchain-enabled contract management

The positions will provide full financial support, including tuition, health insurance, and a monthly stipend. Preferred applicants should:
• Hold bachelor’s and master’s degrees in construction management, civil engineering, transportation engineering, computer science, or a related field
• Have research experience in robotics, computer vision, generative AI, machine learning, digital twins, or other information technologies in construction
• Have programming experience in Python, MATLAB, or C++
• Be familiar with PyTorch, TensorFlow, or MXNet, or be strongly willing to learn
• Have experience publishing in peer-reviewed journals
• Demonstrate strong research passion, self-motivation, and the ability to work independently
• Meet Michigan Tech’s general graduate admission requirements

Interested applicants should send the following materials to me at boxiao@mtu.edu:
• CV
• Transcripts
• One-page research statement

More information about the CaRC Lab:
https://bxiao2.wixsite.com/my-site

Recruiting 3–5 PhD students to join my research group at Auburn University beginning in Spring/Fall 2027.

The available positions are in:
- Sea Ice and Frozen Soil Mechanics
- Lattice Structures and Expansive Soil–Structure Interaction
- Bioinspired Robotics for Geotechnical Engineering

The projects combine experimental research, Discrete Element Modeling (DEM), Finite Element Modeling (FEM), and advanced computational mechanics to address challenging problems in geotechnical engineering and cold region science.

Please note: These positions are intended only for applicants who already hold an M.S. degree (or will complete one before joining the program).

Please see the attached file for detailed descriptions and qualifications.

We are offering two full-time PhD student positions at the Future Elements Studio (University of Manitoba). Deadline to apply: 11:59 PM (Winnipeg time) August 31, 2026.

Details of the project and positions are summarized in the PDF (6 pages in total) below or at festudio.ca.

I am looking for a motivated Ph.D. student to join my research group at Florida Institute of Technology starting in the upcoming Fall semester.

This position is for applicants who are currently in the United States and available to start as soon as possible (Fall 2026).

Research areas include: Metal Additive Manufacturing, Materials Characterization, Machine Learning & Data-Driven Manufacturing, Solid Mechanics, and Materials Science.

The position is interdisciplinary, connecting manufacturing, materials science, solid mechanics, and data science.

Interested candidates should email their CVs to: ssaghaian@fit.edu

Recruiting a fully funded Ph.D. student to start in Spring or Fall 2027. I'm looking for motivated students interested in one or more of these areas:
• AI and data-driven decision-making in construction projects
• Workforce development and training in the built environment
• Organizational behavior and culture within the industry

Prospective students should be interested in one or more of the following research areas:

• AI and data-driven decision-making for construction projects

• Workforce development and training in the built environment

• Organizational behavior and culture within the industry

We are seeking a highly motivated Ph.D. student to join our Sustainable Mining Research Group at the University of Nevada, Reno. The successful candidate will conduct cutting-edge research in critical minerals, sustainable extraction and recycling technologies, life cycle assessment (LCA), techno-economic analysis (TEA), separation science, and the circular economy. The position provides an excellent opportunity to work on federally funded research projects in collaboration with leading universities, national laboratories, and industry partners. Research Areas The Ph.D. student will contribute to one or more of the following research areas:

• Sustainable extraction and recovery of critical minerals

• Separation science and hydrometallurgical process development

• Recycling and circular economy approaches for critical materials

• Life cycle assessment (LCA) and techno-economic analysis (TEA) of mining and processing technologies • Process optimization and sustainability assessment for mineral processing systems

I am excited to share that I have joined Utah State University as a tenure-track 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 in the 𝐒𝐜𝐡𝐨𝐨𝐥 𝐨𝐟 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠.

My lab, 𝐕𝐈𝐒𝐓𝐀 𝐋𝐚𝐛, will focus on developing trustworthy, generalizable, and robust AI systems that can perceive, reason, and adapt reliably in complex real-world environments.

📩 I am looking for motivated 𝐏𝐡.𝐃. 𝐚𝐧𝐝 𝐦𝐚𝐬𝐭𝐞𝐫’𝐬 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 to join the lab and work on 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧, 𝐦𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐚𝐧𝐝 𝐭𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐲 𝐀𝐈. Ideal candidates will have strong programming skills and a solid background in machine learning and computer vision.

If you are interested in joining VISTA Lab, please email me at hossein.kashiani@usu.edu with the subject line [VISTA Lab Application] Your Name and include your CV, transcripts, any publications you may have, and a brief statement describing your background.
https://kashiani.github.io/

https://vistalab-group.github.io/

We are seeking a highly motivated PhD student to join our research group. The ideal candidate will possess a strong background in power electronics, microgrids, and/or control systems/optimization methods. Given our recruitment timeline, preference will be given to applicants who can begin the program by Fall 2026. Interested candidates are encouraged to send their CV to davoudi@uta.edu.

Looking for a strong Ph.D. student to join our research group with a background in control systems and power systems. The position will focus on data-driven and learning-based control for power and energy systems.
Interested applicants should carefully follow the application guidelines listed in the job posting. Please do not send applications or inquiries through LinkedIn messages. Only applications submitted according to the instructions in the posting will be considered.

Position Description: The Plant Phenomics Lab at the University of Florida’s IFAS Gulf Coast Research and Education Center (GCREC), led by Dr. Xu (Kevin) Wang, invites applications for a Ph.D. Graduate Research Assistant to join our team starting Spring 2027. This position is supported by a USDA NIFA-funded project and focuses on AIpowered plant phenomics, including plant digital twins, multimodal data fusion, and knowledge-aware prediction models, to accelerate specialty crop breeding and production decision-making. The lab specializes in high-throughput plant phenotyping through smart sensing, computer vision, and predictive modeling across strawberry, tomato, and ornamental plants, combining field-deployed sensing systems with deep learning pipelines to extract actionable plant traits for breeders and growers. The position includes full support: competitive stipend, tuition coverage, and benefits.

Minimum Qualifications

• Bachelor’s or Master’s degree in Agricultural Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, or a closely related engineering field.

• Minimum GPA of 3.0 for undergraduate and 3.25 for graduate coursework. • For applicants whose native language is not English: TOEFL iBT overall score of 4.5+ with subscore minimums of 4.0 in all subsections (Reading, Listening, Speaking, Writing), or IELTS minimum score of 6.5.

• Strong motivation for independent, interdisciplinary research and willingness to work in both lab and field environments.

Prof. Hyungsub Kim's lab in the Department of Computer Science at Indiana University (IU) invites

applications for multiple fully funded Ph.D. positions beginning in Fall 2027. Our group works on

cybersecurity for cyber-physical systems (CPS) such as autonomous vehicles, drones, and

satellites. We develop algorithms and data structures to model attacks, discover vulnerabilities,

and build more secure software, hardware, and machine-learning systems. For recent projects and

publications, please visit: https://kimhyungsub.github.io/

Ph.D. Opportunity
We are seeking a highly motivated Ph.D. student in Industrial Engineering at the University of Oklahoma to join a funded research project beginning in Fall 2026 or Spring 2027. This position is at the intersection of optimization, machine learning, and healthcare analytics and provides an exciting opportunity to address real-world healthcare challenges by developing and applying advanced data-driven methods to support decision-making and improve patient outcomes.

Required Qualifications:
1. Recent or soon-to-be-completed M.S. degree, preferably within the last 0–2 years, in Operations Research, Industrial Engineering, Mathematics, or a closely related field.
2. Strong background in optimization methods, such as nonlinear and discrete optimization.
3. Proficiency in Python, R, or other relevant programming environments.
4. Experience with machine learning is preferred but not required.
5. Strong interest in interdisciplinary research that bridges data science, optimization, and healthcare applications.
6. Strong communication skills and a collaborative mindset.

Interested applicants are encouraged to send their CV and a brief statement of interest to APHLabatOU@yahoo.com.

Looking for highly motivated PhD students to join my lab at the Ingram School of Engineering, Texas State University , starting in Fall 2026 or Spring 2027.

Our research focuses on developing intelligent, adaptive robotic systems that can perceive and respond to human intent, context, and dynamic environments. We work at the intersection of human-robot interaction, brain-computer interfaces, and autonomous systems, including aerial drones and collaborative robots. Our research integrates multimodal physiological and neural sensing, large language models, and vision-language-action architectures to enable safe, intuitive, and effective human-robot collaboration.

I welcome applicants with backgrounds in Mechanical Engineering, Electrical Engineering, Computer Science, or closely related fields. Strong candidates will have experience in one or more of the following areas:

-Robot programming and control
-Machine learning, reinforcement learning, large language models (LLMs), and vision-language-action (VLA) models
-Computer vision
-Signal processing and neural/physiological signal processing
-Human factors and human-centered AI
-Brain-computer interfaces (BCI)

Research Assistant (RA) funding is available for qualified PhD students.
If you are interested, please send your CV to rsalehzadeh@txstate.edu.
Please feel free to share this opportunity with anyone who may be interested

Looking for two fully funded Ph.D. students to join my HUGO Lab at the University of South Carolina, Columbia. Full funding is guaranteed for the first two years.

Smart is good, consistency is better. A reference from your current or previous supervisor will be required as part of the selection process.

If you are interested in joining my lab, please email me at jangwoon.park@sc.edu.

Students will have opportunities to collaborate with Hyundai Motor Company, the U.S. Department of Transportation (PHMSA), and the University of Michigan Transportation Research Institute (UMTRI), while engaging in interdisciplinary research across an R1 flagship university.

Interested in an exciting PhD opportunity in sustainable carbon research?

Sunkyu Park's research group at the NC State Forest Biomaterials Department is seeking highly motivated students to join cutting-edge research on sustainable carbon materials. If you're interested, please don't hesitate to send your CV and reach out for additional information.

We have a new opening for PhD Student candidates at HiCREST Laboratory at Università di Trento in collaboration with Covision Lab

We are looking for a motivated PhD candidate to work on AI A, inference optimization, and energy-efficient methodologies to accelerate transformer-based models.

💡 The research will focus on techniques such as quantization, sparsification, and pruning to reduce the cost, memory footprint, and energy consumption of deep learning inference, while studying their impact on accuracy, runtime performance, and reliability.

👨‍💻 👩‍💻 Ideal Candidate background:
Computer Science, Computer Engineering, AI, Data Science, Electrical Engineering, or related fields.

💻 Useful skills:
Python/C++, PyTorch/TensorFlow/ONNX Runtime, CUDA/GPU programming, benchmarking, HPC, model compression, or reliability analysis.

📩 Expression of Interest Application:
Send your CV and a 1-page research/motivation statement.
Deadline: 31st of July 2026

📍 University of Trento | Hicrest Laboratory
💶 ~€1.7K/month after tax | ⏳ 3 years
🤝 Internship opportunity at Covision Lab

Full description and application details below 👇
https://www.hipeac.net/jobs/15358/phd-student-position-efficient-reliable-ai-inference/#/

Seeking a PhD student to join my research group in Spring 2027 or Fall 2027. Applicants should have a background in food science, materials science, chemical engineering, chemistry, or a closely related field. Minimum requirements include meeting the University of Georgia’s English language proficiency requirements (see: https://grad.uga.edu/admissions/requirements/international-applications/english-language-proficiency-requirement/) and having a minimum GPA of 3.5.
Preference will be given to candidates who hold an MS degree earned within the past three years, or are on track to complete one before enrollment; have peer-reviewed publications and/or strong research experience; and demonstrate excellent communication skills and a strong work ethic.
Interested applicants should

email: linglliu@ugadotedu

by December 31, 2026. Applications received earlier will receive priority consideration. Please include your major and graduating university in the email subject line.
In the body of the email, briefly describe your graduating university, your GPA, research experience, and publications (if any). Please also attach your CV, all academic transcripts, and copies of your publications (if applicable). Thanks!

Happy to share that my project "ERI: Physical Layer Side Channel Assessment and Lightweight Countermeasures for Embedded Post Quantum Cryptography" is now officially funded by the U.S. National Science Foundation (ERI program), totaling $199,865.
I'm hiring a PhD student to work on this at Florida Tech. If you or someone you know is interested in hardware security, embedded crypto, or side-channel analysis, please reach out: aaydeger@fit.edu

This position will assist in establishing a new research focus in the area of Artificial Intelligence (AI)/Machine Learning (ML) in Construction Engineering and Management. Construction projects generate a significant amount of both structured and unstructured data that can be analyzed using advanced data analytic approaches to provide information for better decision-making and improved project performance. Construction sites generate a significant amount of documents (e.g., monthly reports, contracts, requests for information, change orders, etc.) as well as images (video and photo logs of a project’s progression). These data can be processed using conventional statistical approaches as well as more sophisticated AI/ML techniques.

Duties and responsibilities include (but not limited to):
1) conducting important research in the area of AI/ML for improving construction project performance through literature reviews, surveys and focus groups
2) summarizing these findings in scholarly publications
3) writing proposals
4) sharing this knowledge with the public at large

email at ejjasels@ncsu.edu if you need more information.

Apply here: https://jobs.ncsu.edu/postings/231914

I'm now recruiting 1–2 motivated PhD students to help build my research lab from the ground up.

🔬 Research Focus:
My lab works on alloy development and design, high-temperature materials processing, thermophysical property characterization, along with uncertainty analysis and modeling of process-structure-property relationships through Integrated Computational Materials Engineering (ICME) to support the additive manufacturing (AM) industry.

🎓 Who I'm Looking For:
I'm looking for someone self-motivated, curious, and excited to collaborate across disciplines. Ideally, you'll have a BS or MS in Materials Science & Engineering, Mechanical Engineering, or a related field, along with a background or strong interest in additive manufacturing, alloy design, or high-temperature materials. Experience with materials characterization, computational/ICME tools (e.g., Thermo-Calc,CALPHAD, FEM), uncertainty analysis, statistical analysis or experimental processing is a plus.

You don't need to check every box — real curiosity about material behaviour matters more than a perfect transcript.

💡 Why Join This Lab? You'll be a founding member of a new research group with the chance to directly shape its direction, build hands-on expertise spanning experimental and computational materials science, and contribute to work with real impact on AM industry partners and aerospace/space applications. Boise's growing tech and aerospace ecosystem plus easy access to the outdoors make it a great place to do a PhD.

📩 Interested? If you'd want to spend a few years on solving growing materials problem in challenging spaces, send me your CV, unofficial transcripts, and a short note on what draws you to this work to jannatunnawer@boisestate.edu. 🚀 ⚙️

👀 I'm looking for graduate students! 👀

If you are interested in women's health, exercise, and female athlete health, check out Marquette University's Exercise and Rehabilitation Science graduate program!
Visit: https://www.marquette.edu/grad/programs-exercise-rehabilitation-science-graduate-program.php#admissions

The Ryan Research Group is recruiting a fully funded MS student to start in January 2027. Our work focuses on transportation safety, human factors, and infrastructure planning for safer communities.

Find details at https://alyssaryan.co/ms/.

Seeking two highly motivated Master’s or PhD students to join the Kim Eco Lab in the Department of Entomology at Kansas State University. Members of the Kim Lab study the ecology of plant-insect interactions and how these interactions vary with insect management and land-use change. For more information, please visit kimecolab.com under the Opportunities tab.

At Arkansas, I look forward to building the Hwang Lab (PEARL (Peptide-ECM Engineering for Advanced Responses Lab)) and developing extracellular matrix-inspired nanostructures that enhance therapeutic delivery and modulate cellular responses in cancer and wound healing (https://hwanglab.uark.edu/)
🚀 We are recruiting! I am actively seeking motivated graduate and undergraduate students interested in biomaterials, nanomedicine, drug/gene delivery, immunoengineering, and cancer therapeutics. Please feel free to reach out if you are interested in joining the lab.
Email: jehwang@uark.edu

Looking for a motivated Ph.D. student to join my research group in Civil, Environmental, and Geospatial Engineering at Michigan Technological University.
The focus: Transportation Engineering and Non-Destructive Testing (NDT) — developing new sensing technologies for civil applications through both numerical modeling and hands-on experimental work in the lab and field.

Ideal candidate:
Degree in Civil, Electrical, or Materials Science Engineering
Experience in sensing, concrete, NDT, or data analytics
Programming skills (MATLAB, Python, LabVIEW) + signal processing

Applications reviewed on a rolling basis until filled. Details are in the attached ad — feel free to reach out or email me at qntran2@mtu.edu.

The Department of Molecular Biosciences, Wenner-Grens Institute (MBW) conducts experimental basic research in molecular cell biology, integrative biology and infection and immunobiology. The research environment is characterized by a modern and advanced methodology and has a strong international profile. MBW is one of the larger departments within the Faculty of Science at Stockholm University with just over 30 research groups and approximately 180 employees, of which 65 are doctoral students. More information about us can be found at: Department of Molecular Biosciences, Wenner-Grens Institute

Project description

The doctoral student's thesis work will be conducted within the framework of Professor Martin Jastroch's research group. The project addresses molecular mechanisms of energy metabolism particularly related to obesity, metabolic diseases or evolution. We use experimental animals (mouse, marsupials) and cellular models (fat cells) to understand the underlying mechanisms in the development of metabolic dysfunctions, evaluated with mouse metabolic phenotyping, bioenergetic and molecular analyses. The project will also involve handling large amounts of data from omics methods and basic computational and programming skills will be necessary.
More here: https://su.varbi.com/what:job/jobID:947748/where:4/

Excited to announce openings for highly motivated PhD candidates interested in research areas such as Low-Carbon Propulsion, Advanced Aerodynamics, and Thermal Management. This opportunity is perfect for those eager to contribute to innovative solutions in Aerospace Engineering.

I am looking for students with these requirements:
- Preferred GPA of 3.75/4.0 for B.Sc. degrees.
- Preferred GPA of 3.5/4.0 for M.Sc. degrees.
- Evidence of research skills and a solid academic background in Aerospace Engineering or related fields.

If you are passionate about advancing aerospace technology, please leave a message in my inbox with your CV/Resume and academic transcripts before 26 June 2026.
Email: naefqasem@kfupm.edu.sa

One or two fully funded PhD positions are available at Clemson University in the area of AI-enabled wireless sensing, signal processing, and cyber-physical systems.

The student will conduct research at the intersection of wireless communications, machine learning, and intelligent sensing systems. Current research topics include:

• Wi-Fi and RF sensing

• Radar sensing and perception

• AI/ML for wireless systems

• Human-centered sensing and healthcare applications

• Cyber-physical systems (CPS)

• Edge AI and intelligent IoT systems

• Privacy-aware and trustworthy AI for sensing applications

The PhD student will design and develop novel algorithms, conduct experimental studies, build sensing prototypes, analyze real-world datasets, and publish results in leading conferences and journals. Opportunities exist for interdisciplinary collaboration across wireless networking, machine learning, signal processing, healthcare, and intelligent infrastructure applications.

Students will receive full financial support through research assistantships and will work closely with the faculty advisor and research team.

Preferred Qualifications

Background in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, Robotics, or related fields.

Strong foundation in one or more of:

• Signal Processing

• Wireless Communications

• Machine Learning / Dee Learning

• Embedded Systems

• Computer Vision

• Experience with Python, MATLAB, C/C++, or related programming languages.

• Prior research experience, publications, or open-source projects are beneficial but not required.

• Highly motivated students interested in pursuing academic or industrial research careers.

How to Apply

Interested students should email the following materials to lan7@clemson.edu.

• CV/Resume

• Academic transcripts (unofficial copies are acceptable initially)

• Sample papers, if any

Selected candidates will be contacted for an interview.

Apply here: https://www.linkedin.com/jobs/search/?currentJobId=4429666945&keywords=%F0%9F%93%A2%20Fully%20Funded%20PhD%20Position%20at%20Clemson%20University%20&origin=BLENDED_SEARCH_RESULT_NAVIGATION_JOB_CARD&originToLandingJobPostings=4429666945

I am recruiting motivated master’s students to join my research group in the Department of Construction Management at the University of North Florida.

If any of these areas interest you, I'd love to hear from you:

➕ Infrastructure resilience and disaster recovery
➕ Sustainable construction and C&D waste management
➕ Digital twins, AI, and data-driven decision-making in construction

Students with backgrounds in construction management, civil engineering, environmental engineering, industrial engineering, data analytics, or related fields are encouraged to apply.

Experience with data analysis, operations research, GIS, or computational modeling is a plus, but not required. Motivation to learn, reliability, and interest in applied research are important.

Interested students should send the following materials by June 28:
✔️ CV or résumé
✔️ Unofficial transcript
✔️ A brief statement of interest describing your research interests and relevant experience

✉️ Please send materials to: navid.nickdoost@unf.edu

Hiring two PhD students at University of Vienna. I am looking for highly motivated individuals with a strong background in theory/algorithms.

These are fully funded positions, for up to 4 years, with an expected start in October 2026. A master’s degree in computer science, mathematics, or a related discipline is required by the start date.

Application deadline: June 29, 2026
Apply here: https://jobs.univie.ac.at/job/2-University-assistants-predoctoral-%28group-Algorithms-and-Optimization%29/1401851233/

Your Profile

• Completed Master’s degree (or comparable) in the field of (bio)process engineering, biotechnology, mechanical engineering, or a related discipline

• Strong expertise in biotechnology and/or (bio)process engineering and eagerness to further develop your knowledge in this field

• First experience with the utilization of waste streams or the biosynthesis of polymers would be advantageous but is not mandatory.

• Interest in interdisciplinary collaboration and have strong teamwork skills

• Independent work with determination

• Fluency in English is a prerequisite. Fluency in German is desired.
  Apply here: https://www.rwth-aachen.de/cms/root/wir/karriere/rwth-jobportal/~kbag/details/?file=V000011173&lidx=1

The University of Guelph resides on the treaty lands and territory of the Mississaugas of the Credit. We recognize this gathering place where we work and learn is home to many past, present, and future First Nations, Inuit, and Métis peoples. Our acknowledgement of the land is our declaration of our collective responsibility to this place and its peoples’ history, rights, and presence. The Dairy Science, Food Processing, Structure and Quality and the Grain Science and Technology Research Groups in the Department of Food Science at the University of Guelph are seeking a highly motivated PhD student to join a dynamic, multidisciplinary, and multi-university research initiative ‘The Future is Gree(ai)n’ (NSERC CREATE Program), with a focus on understanding how grain structural architecture governs food quality and how this knowledge can be leveraged to develop novel, high-value grain-based ingredients.

Position description

The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. 
Read more here - https://jobs.helsinki.fi/job/Helsinki-Doctoral-Researcher-in-Machine-Learning%2C-Statistics-and-Data-Centric-Engineering/1364020557/

My research focuses on developing the mathematical foundations for safe and reliable autonomous systems. We work at the intersection of control theory, dynamical systems, optimization, and machine learning, with a particular emphasis on developing rigorous guarantees for learning-enabled systems.

As autonomous systems become increasingly capable and widespread, fundamental questions remain about how to ensure they behave safely, reliably, and predictably. My group develops new theory and algorithms aimed at providing provable safety and performance guarantees for complex decision-making systems.

I am particularly interested in working with students who enjoy mathematics and are excited by challenging, open-ended research problems. Strong preparation in areas such as applied mathematics, control theory, optimization, dynamical systems, or machine learning is highly desirable.

This position is best suited for students who are motivated by developing new theory and contributing to fundamental advances rather than applying existing methods. Research often involves tackling problems for which no solution is known, and successful students are typically those who are intellectually curious, persistent, and excited by difficult questions.

Prospective students interested in pursuing a Ph.D. are welcome to contact me directly (cdanielson@unm.edu). Please include a brief description of your background, research interests, and relevant coursework or research experience.

We are currently looking for 2 PhD candidates to undertake research as part of the Australian Research Council-funded project, Developing Electric/Electromagnetic Field-Enhanced Packed-Bed Electrochemical Reactors (DP260100590). The primary focus of this role is to investigate the enhancement of electrochemical reactions with electric or magnetic field to advance green electrochemical production technology. This project includes gaining proficiencies in advanced materials characterisation, reactor engineering and electrochemical technologies.
More here: https://www.griffith.edu.au/research-study/scholarships/developing-electricelectromagnetic-field-enhanced-packed-bed-electrochemical-reactors

The Energy Production and Infrastructure Center (EPIC) at University of North Carolina at Charlotte invites applications for a Postdoctoral Research Fellow position in advanced power electronics, protection systems, and electrification technologies.

The successful candidate will contribute to externally funded projects in AI-enabled DC solid-state circuit breakers for data centers, solid-state/hybrid transformers, and wireless power transfer for railway applications.

Candidates should have a Ph.D. in Electrical Engineering or a closely related field, a strong background in power electronics, and hands-on experimental research experience. Experience with SiC/GaN devices, solid-state circuit breakers, arc-fault detection, solid-state transformers, wireless power transfer, or medium-voltage testing is preferred.

Interested candidates please send a CV to Dr. Tiefu Zhao at Tiefu.Zhao@charlotte.edu

𝗣𝗵𝗗 𝗖𝗹𝘂𝘀𝘁𝗲𝗿: 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 𝗖𝗵𝗲𝗺𝗶𝘀𝘁𝗿𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 𝘁𝗼 𝗡𝗲𝘅𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗣𝗚𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

The School of Chemistry at the University of St Andrews and industrial partner Johnson Matthey are offering 4 studentships as part of a platinum group metals based cluster. This cluster brings together to a focused team of materials chemists seeking to deliver cutting edge materials advances centred on platinum group metals and their compounds. The team offers state-of-the-art facilities for structural, physical and microstructural characterisation and strong links to central facilities.

4 projects are available as follows:

(1) Palladium Based Electrodes for Hydride Electrochemistry, supervisor Professor John TS Irvine, jtsi@st-andrews.ac.uk. Hydride conductor research has advanced significantly with important advances in electrochemistry and nitrogen activation. In this project the student will optimise the Pd electrodes in terms of structure and formulation, Electrochemical performance will be probed via impedance spectroscopy and aligned with microstructure and stability.

(2) Thermal barrier materials, supervisor Dr Jan-Willem Bos, j.w.g.bos@st-andrews.ac.uk. This project aims to develop metal silicide thermal barrier materials and explore the impact of platinum group metals on their performance in extreme conditions. The work will combine bulk and multilayer materials exploration, stability testing and extensive characterisation to develop next generation barrier materials. Some travel is expected as part of the project work.

(3) Rhodate and Palladate Quantum Oxides, supervisor Dr Alexandra Gibbs, a.gibbs@st-andrews.ac.uk. This project will develop a scalable synthesis methodology for novel quantum oxides with future spintronic potential. The work will combine exploratory synthesis with targeted growth, structural characterisation including central facilities work (e.g. at ISIS Neutron and Muon Source) and detailed physical property investigations to create an agile platform for new quantum device development.

(4) Rhodium For Green Fuel Conversions, supervisor Professor John TS Irvine, jtsi@st-andrews.ac.uk. In this project, we seek to optimise PGM infiltration for CO2 conversions and green fuel conversions (eg biogas) as solid oxide electrodes for green fuel conversions.

We are looking for highly motivated graduates with a degree in chemistry, physics or a related discipline. Some experience in the area of materials research (broadly defined) is desirable. Full training will be provided as required. The start date will be 27th September 2026 or as soon as possible thereafter. Contact the relevant PI for further details.

Looking to recruit highly motivated M.S. and Ph.D. students to join my research group in the Department of Civil and Environmental at the Riccio College of Engineering, UMass at University of Massachusetts Amherst.
Research opportunities are available in two exciting areas:

🔹 Post-fire assessment and resilience of transportation infrastructure, including tunnels and other critical transportation assets.
🔹 Cold spray additive repair of steel infrastructure, including the development, characterization, and field implementation of innovative repair technologies for bridges and other structural systems.

Students will have the opportunity to work at the intersection of structural engineering, materials science, advanced manufacturing, experimentation, and infrastructure resilience, while collaborating with leading researchers, transportation agencies, and industry partners.

Prospective students with backgrounds in civil engineering, mechanical engineering, materials science, or related disciplines are encouraged to apply.

If you are interested, please email me at sgerasimidis@umass.edu with your CV and a brief description of your research interests.

Openings for three Postdoctoral Research Associates and three PhD students in my group in the Department of Civil and Environmental Engineering at the University of Virginia. Since this is a little bit late in the normal recruiting cycle, I would greatly appreciate your help sharing this with your network.

For 𝐏𝐨𝐬𝐭𝐝𝐨𝐜 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬, see below for more information and to apply! I will start reviewing the applications on June 29, 2026:

Postdoc 1: Flood Risk Assessment and Early Warning Systems: https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Research-Associate-in-Civil-and-Environmental-Engineering_R0084274-1
Postdoc 2: Evacuation Behavior and Mobility Analysis: https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Research-Associate-in-Civil-and-Environmental-Engineering_R0084275-1
Postdoc 3: Septic System Resilience and Early Warning:

https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Research-Associate-in-Civil-and-Environmental-Engineering_R0084276

For 𝐏𝐡𝐃 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬, my preference is a Fall 2026 start, though I will consider outstanding applicants for a Spring 2027 start. Given the limited time before the fall semester, preference will be given to applicants already based in the United States or holding a valid U.S. visa.

PhD Position 1: Computational Methods for Socio-Environmental Systems.
PhD Position 2: Understanding Decision-Making Under Risk.
PhD Position 3: Valuing and Improving Early Warning for Compound Hazards.

See the document attached to this post for full descriptions of each position and application instructions.

We have officially launched our new Ph.D. in Cybersecurity program, one of the few truly interdisciplinary PhD programs in the nation.
Come join a rising cybersecurity program in a premier R1 institution designated as NSA Center of Academic Excellence (CAE) in Cyber Research.
You will have the opportunity to work with faculty who regularly publish in top security and AI venues including IEEE S&P, ACM CCS, USENIX Security, NDSS, ASIACCS, ACSAC, NeurIPS, AAAI, EMNLP, NAACL.

Full-time student will receive generous graduate assistantships and tuition waiver.
Applications are open for Fall 2026.
👉 Learn more about the curriculum, and how to apply here: https://www.odu.edu/cyber/academics/graduate/phd

📌 Our Group is recruiting PhD students, undergraduate researchers, postdoctoral researchers, visiting scholars, and visiting students.
📖 Candidates interested in computational biophysics, theoretical chemistry, molecular dynamics, statistical mechanics, machine learning, generative AI, RNA biology, or drug discovery are encouraged to reach out.
🌐 Website: https://chemistry.nd.edu/people/yunrui-qiu/
✉️ Email: yqiu8@nd.edu

Excited to share that I'm recruiting a fully funded doctoral student to join my research group at Lamar University (Lamar University Department of Civil & Environmental Engineering), starting Fall 2026 or Spring 2027!

As an incoming Assistant Professor — and current Postdoctoral Associate at MIT Concrete Sustainability Hub — I'm building a lab at the intersection of AI and ML, life cycle assessment, digital twins, and climate-resilient infrastructure. We work closely with state DOTs, FHWA, and industry partners on problems that matter at scale.

📌 The position is fully funded (tuition waiver + monthly stipend + benefits).

🔬 Research areas include:
• AI- and data-driven infrastructure performance prediction
• LCA & LCCA of transportation infrastructure
• Digital twin systems for infrastructure monitoring
• Climate-resilient design under extreme weather
• Physics-informed & ML-based surrogate modeling

I'm looking for motivated students with backgrounds in civil/environmental engineering, computer science, or related fields. Prior research experience and programming skills (Python, MATLAB) are a plus.

📩 Interested? Send your CV, transcripts, and a brief statement of research interest to haoranli5477@gmail.com with subject line: [Doctoral Application] – Your Name.

Recruiting a PhD student to join my research group in the Department of Biosystems and Agricultural Engineering at Oklahoma State University, starting fall 2026 or spring 2027. The preferred start date is Fall 2026. However, exceptionally qualified candidates who are available to begin in Spring 2027 may also be considered.

Preferred qualifications:
✔ M.S. in Civil Engineering, Biosystems Engineering, Hydrology, Water Resources, or a related field
✔ Experience with HEC-RAS, SWMM, or other hydrologic and hydraulic models.
✔ Programming experience (Python preferred)
✔ Strong quantitative and analytical skills

Given the limited time before the Fall 2026 semester begins, preference will be given to applicants who are already residing in the United States or who have a valid U.S. visa and can begin studies by Fall 2026.
Please see the attached announcement for additional details. Interested applicants should complete the application form and send application materials to kj.jafarzadegan@okstate.edu.
Research Group here https://www.hydroexlab.com/

Are you passionate about leveraging data science, OR, and AI to transform our built environment?

Dr. Yunping Liang’s research group within The Durham School of Architectural Engineering and Construction at University of Nebraska-Lincoln College of Engineering is looking for one (1) brilliant Ph.D. student to join .

📅 Start Date: Can start any time.
💡 Core Focus: Advanced quantitative research methods (statistics, machine learning, optimization, simulation, applied AI).

While any topic aligned with our infrastructure aspirations is welcome, our core focus will target AI-driven or data-driven decision-making for: Transportation Systems (highway & transit planning, delivery, and operations); Affordable Housing; Post-Disaster Infrastructure Resilience

👉 Faculty Page & Application Details: https://engineering.unl.edu/durhamschool/person/yunping-liang/

Seeking a talented and enthusiastic Protein Chemist/Biochemist to join our international research group at University College Dublin (Ireland) as a PhD student.
Applicants should have, or be about to gain, a BSc or MSc in Chemistry, Biochemistry or related areas. Expected start date is September 2026.

The project will focus on the engineering of industrially relevant enzymes for enhancing the catalytic activity in organic solvents and/or at higher temperature.

Please, use this form to apply if interested:
https://docs.google.com/forms/d/e/1FAIpQLSeZIlXslR7kFlPsA_8bzAzITmdAYetSntbVJvJK8lk5E9v8ig/viewform

Advertisement to recruit two PhD students ****
I am a Professor at the Lassonde School of Engineering at York University. York University is one of the largest universities in Canada. York University is located in Toronto, one of Canada’s most beautiful and diverse cities.

I am currently recruiting two PhD students to join my research group. The successful applicants will work on the safety assurance of machine learning (ML)-enabled autonomous driving systems. Their research projects will therefore lie at the intersection of software engineering, machine learning and safety science, with applications in the automotive domain.

The deadline to apply for this position is June 30, 2026.

The expected start date is September 1, 2026 or January 1, 2027.

To be eligible for this position, you must:
1.       Hold an MSc degree in Computer Science (preferably with a specialization in Software Engineering)
2.       Have a cumulative GPA of at least B+ (or equivalent)
3.       Have a good knowledge of software modeling concepts
4.       Be proficient in Python
5.       Have a good knowledge of Generative AI technologies
6.       Have good interpersonal skills
7.       Have excellent analytical skills
8.       Be very creative and motivated
9.       Have excellent writing and communication skills
10.  Be fluent in English.

The admission deadline for international students has already passed, and successful international applicants have already been notified. So, this position is only open to Canadian citizens and permanent residents.

Those interested in this position should email me a complete application package including:
1.       A CV
2.       1-2 recent publications (if any)
3.       A cover letter. This cover letter should notably explain how the applicant meets the aforementioned eligibility criteria.

My complete profile and my contact information (e.g., email address) can be found on this link: https://lassonde.yorku.ca/users/alvinebelle

The Hydroclimate Extremes and Water Security Lab in the Department of Civil, Geological, and Environmental Engineering at the University of Saskatchewan, Canada, invites applications for a funded PhD position, with an ideal start date of September 2026, although a later start (January 2027) might be considered. About the Position: The selected applicant will conduct high-quality research to improve long-term flood prediction in ungauged basins amid Earth changes. The research will include flood frequency analysis, regional estimation and spatial modelling, and post-processing of climate and hydrological model simulations (correction and downscaling), all under nonstationarity (changes in climate, land use, and water). The PhD will be supervised by Prof. Cuauhtémoc T. Vidrio-Sahagún.

Ph.D. assistantship is available in The Environmental Chemistry Laboratory at the Department of Environmental Sciences at Louisiana State University starting Fall 2026 or Spring 2027. The USGS funded research project focuses on PFAS analysis in water, sediments, and plant tissues at the lower Mississippi River and the Lake Pontchartrain Estuary watershed. Seeking a graduate student with a background in analytical chemistry, environmental chemistry, environmental science and other related fields and a student with a conferred master’s degree is preferred. The stipend is $31,000 per year and includes a full tuition waiver. The College also has a number of scholarships each year, which provide additional funds paid directly to the student. Field work is required on small boats as well as river sampling campaigns; and extensive laboratory trainings and work analyzing PFAS in water, sediments, and plant tissues will be required. Please send a CV and letter of interest to Dr. Bikram Subedi at bsubedi@lsu.edu.
https://www.lsu.edu/cce/about/cce-directories/faculty-profiles/subedi_bikram.php

Looking for a highly motivated PhD candidate to join an exciting research project at the University of Bologna, funded by CNR-IRPI.
🔬 Research topic:
Development of innovative methodologies for estimating river discharge at the global scale by integrating observations from different satellite missions with advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques.
The PhD project will focus on:
✅ Satellite-based river monitoring and hydrology
✅ Multi-mission Earth Observation data integration
✅ Artificial Intelligence and Machine Learning applications
✅ Global-scale river discharge estimation

This is a unique opportunity to work at the intersection of hydrology, remote sensing and AI, contributing to the development of next-generation methods for global river monitoring.
📅 Application deadline: 15 June
🔗 More information and application details: https://www.unibo.it/en/study/phd-professional-masters-specialisation-schools-and-other-programmes/phd/2026-2027/engineering-and-information-technology-for-structural-and-environmental-monitoring-and-risk-management-2013-eit4semm

A fully funded PhD assistantship is available in the Hansen ruminant nutrition lab at Iowa State University (Ames, IA), with a target start date of January 2027.
Research focus: The successful candidate will conduct applied and mechanistic research on micronutrient metabolism and its impact on beef cattle health and production performance.

Funding: Full research assistantship including stipend, tuition coverage, and benefits.

Qualifications:
·       MS in Animal Science, Nutritional Sciences, or a closely related field
·       Hands-on experience with beef or dairy cattle (required)
·       Undergraduate GPA of 3.25 or greater
·       Strong work ethic, attention to detail, and interest in cattle production research

To apply: Send a CV, unofficial transcripts, and a statement of interest to Dr. Stephanie Hansen at slhansen@iastate.edu

Review of applications begins August 1, 2026 and will continue until a successful applicant is identified. Only completed applications will be considered.

Dr. Philip Liu is pleased to announce that a Chancellor's PhD Fellowship has been allocated to me and the Department of Civil and Environmental Engineering. We are looking for a PhD student who is interested in Coastal Engineering and/or Environmental Fluid Mechanics. If you are qualified and interested in the program, please contact me at Philiplfliu@gmail.com

PhD Hong Kong University - Cognitive and Affective Neuroscience Project -Psychology
see the file attached below for more information

Exciting opportunity for a fully funded PhD position at Brussels Photonics, Vrije Universiteit Brussel. This position focuses on optical system design and prototyping for spectral microscopic imaging.

Interested students are encouraged to reach out for more information. Recommendations and reposts are highly appreciated.

Contact: Yunfeng.Nie@VUB.BE

See application link: https://jobs.vub.be/job/Elsene-PhD-'Optical-Design-&-Prototyping-for-Spectral-Microscopic-Imaging-of-Microplastics'/1290349301/

Postdoctoral Research Fellow and/or PhD student to join a project on AI-based assessment of fire potential forecasts to inform wildlife prevention and management, funded by the Joint Fire Science Program!

The project focuses on evaluating fire forecast products, integrating large environment and geospatial datasets, and developing advanced statistical and AI / ML models to better understand and predict fire outcomes.

We are looking for candidates with expertise in AI/ML, statistical modeling, geospatial/environmental data, and wildfire or climate-related applications.

Location: Boise State University, Boise, Idaho
Preferred start date: October 1 for PostDoc; January 1 for PhD student
To apply: Send a short statement of interest and CV to mojtabasadegh@boisestate.edu

We are looking for a highly talented and motivated Ph.D. candidate to work on information-theoretic foundations of memory poisoning at Linköping University

The project, funded by the Swedish Research Council (VR), aims to develop a rigorous understanding of how malicious information injected into an AI agent’s memory can influence its reasoning and decision-making.

It is suitable for a candidate who is interested in developing rigorous foundations while also validating ideas through selected proof-of-concept attacks, defenses, and experiments with LLM-based agents.

Prior experience in AI security, privacy, or LLMs is beneficial but not required. We especially welcome strong applicants from backgrounds such as information theory, communication theory, signal processing, optimization and learning, applied probability and statistics, cybersecurity, and distributed systems.


Visit: https://liu.se/en/work-at-liu/vacancies/29341

We are seeking a highly motivated candidate for a fully funded MPhil scholarship (2 years) with the potential to transition into a PhD program based on performance and project outcomes.
 
Project Overview
The research project aims to develop an innovative data-driven framework for predicting soil swell potential and its impacts on pavement infrastructure. The successful candidate will contribute to:
·        Development of advanced predictive models using geotechnical and infrastructure data.
·        Integration of data analytics, machine learning, and engineering principles.
·        Design and development of web-based and mobile applications for research translation.
·        Collaboration with industry partners and institutional research collaborators.
 
Desired Background
Applicants with one or more of the following backgrounds are encouraged to apply:
·        Geotechnical Engineering/ Civil Engineering
·        Data Science / Data Analytics
·        Computer Science / Software Engineering
Related disciplines with programming skills
 
Eligibility
·        A Bachelor's degree (Honours preferred) in Engineering, Computer Science, Data Science, or a related discipline.
·        Strong academic record and research potential.
·        Demonstrated programming, data analysis, or software development skills are desirable.
·        Both domestic and international applicants are welcome.
·        As the project requires an immediate commencement, applicants who are currently based in Australia are strongly encouraged to apply.
 
Interested candidates should send their CV, academic transcripts, and a brief statement outlining their research interests and relevant experience.
For further information, please contact A/Prof Vinod Jayan: vinod@uow.edu.au

Excited to share that the Scientific Advancements in Fire Education and Research (SAFER) Lab at Oklahoma State University is recruiting highly motivated MS and/or PhD students for fully funded graduate research positions starting in Spring/Fall 2027.

Selected students will work on research related to wildfire investigation, grassland fire behavior, and wildfire impacts on chemical and process infrastructure, including:
🔥 Reliability of fire behavior and fire pattern indicators in grassland wildfire investigations
🔥 Wildfire-induced exposure conditions and failure mechanisms of process-safety-critical infrastructure

Students will gain experience in field research, experimental fire testing, data analysis, fire modeling, and collaboration with fire management and process safety partners.
Applicants with backgrounds in Fire Protection Engineering, Chemical Engineering, Mechanical Engineering, Fire Ecology, Wildland Fire Science, or related fields are encouraged to apply.

Interested applicants should email ruiqing.shen@okstate.edu with a CV, transcripts, research statement, and 2–3 references.
Subject line: OSU SAFER Lab Graduate Application – MS/PhD – [Your Name]

Start Date: Fall 2026 Prospective Ph.D. students beginning in Fall 2026 are encouraged to apply to the Doctorate of Engineering program to conduct research in the transportation subdiscipline of Civil Engineering, with emphasis on one or more of the following areas:

• Multimodal transportation systems

• Transportation planning

• Transportation solutions for rural communities

Transportation data analytics

Funding is expected to be available for up to four years, subject to admission, availability, and satisfactory academic and research progress. Anticipated support includes:

• 12-month salary of $2,500 per month

• Tuition assistance, fringe benefits/insurance

• Small budget for research-related travel, materials, and supplies Interested applicants should (1) apply for the program and (2) email the following materials to Dr. Calvin Clark at Calvin.Clark@tamuk.edu

Dr. Feng Pan's lab will study how light interacts with materials at the nanoscale. We aim to develop new technologies that could make communication more secure, computing faster, and networking more efficient. We will build instruments, design and fabricate nanoscale photonic devices, and explore new phenomena at the intersection of materials, light, and devices.

My lab is actively recruiting highly motivated graduate students for Spring and Fall 2027, as well as undergraduate researchers. If you are curious about how to “trick” light and use it to uncover new physics, I would love to hear from you. Please check out my lab website (https://generalpan90.wixsite.com/mysite) for more details.

Looking to recruit PhD students in structural engineering at the University of Waterloo to work on research programs involving large-scale structural concrete testing and nonlinear finite element modelling.

Ideal candidates will have strong interests in structural concrete, experimental methods, and structural behaviour. Experience with laboratory testing, nonlinear analysis, and reinforced/prestressed concrete design is an asset.

Interested students are encouraged to contact me directly (thrynyk@uwaterloo.ca) with their CV, unofficial transcript(s), and a brief summary of their research interests.

I am looking for postdocs with computational background to join my lab at Weill Cornell Medicine / Weill Cornell Imaging at NewYork-Presbyterian / Cornell Tech in New York City: https://imeds.ai (Intelligent Medical Systems / IMEDS).

Qualifications: agency, creativity, ability to communicate clearly using spoken and written English, proven track record of research (3 first author top conference papers or equivalent), and excellent software engineering skills.

You will be working with the leading experts in the area of early detection and prevention of disease, have access to unprecedented amounts of data, and, what is the most important - make real impact on patients' lives.

University College Dublin is inviting applications for multiple fully funded PhD studentships as part of a new national centre for data science and AI.

These positions are offered through a cohort-based training programme covering a broad range of research topics. One project will be supervised at the UCD School of Computer Science on predicting answerability for LLMs in the context of large-scale political and cultural data.

Funding Details:

• €25,000 per year stipend for four years, tax free

• Additional support for travel and training

How to Apply:
Applications are submitted centrally via the official form:

Dr. Arindam Khanda will be joining Kennesaw State University as a tenure-track Assistant Professor of Computer Science in Fall 2026.

He is now recruiting a PhD student to join his research group. The group’s work focuses on high-performance computing (HPC) for graph analytics, scalable AI, and cyber-physical systems (CPS).

Prospective students interested in parallel graph algorithms, dynamic graphs and hypergraphs, complex networks, or learning and optimization for CPS applications are encouraged to connect.

Interested applicants can reach out to Dr. Arindam Khanda directly at [his email] with a CV and brief statement of research interests.

Email: arindam.khanda@gmail.com

website: https://arindamk92.github.io/

Our lab is seeking a highly motivated Postdoctoral Fellow to join the University of Arkansas Division of Agriculture’s well-established rice breeding program. This is an exciting opportunity to support the development of rice varieties across all market classes and herbicide technologies while working with cutting-edge breeding approaches, including genomic selection, high-throughput phenotyping, and AI-assisted breeding tools.

We welcome applications from qualified candidates with a Ph.D. in Plant Breeding and Genetics or a closely related field who have experience in field trial data analysis, marker-assisted selection, and a strong passion for crop improvement research.

Are you a final-year Chemistry undergraduate or Chemistry graduate looking to take the next step in your research career?
We are seeking a motivated, enthusiastic honours graduate to join the
Metallotherapeutics Research laboratory for a fully funded PhD position
starting this autumn.
What we offer:
Full tuition coverage + tax-free stipend (€25,000 per year).
Access to state-of-the-art laboratory facilities.
Funding for international conference travel
Project
Focus: Development of novel metal-based antimicrobials/ chemical biology
Who should apply?
We welcome applications from students having finished or finishing their degrees in Chemistry, Chemical Biology and Medicinal Chemistry.
How to apply:
Send your CV and very brief cover letter directly to dgriffith@rcsi.ie

I am seeking one highly motivated PhD student to join the Intelligent Energy Systems Lab at the University of Michigan-Dearborn (Michigan, USA). The position is expected to begin in the Winter 2027 semester (January 2027).

🔍 Research Areas:
• Artificial Intelligence (AI), Machine Learning (ML), and Optimization for Power Systems
• Renewable Energy Integration and Grid Modernization
• Electric Vehicles (EVs), Vehicle-to-Grid (V2G), and Vehicle-to-Vehicle (V2V) Technologies
• Microgrids and Distributed Energy Resources
• Power System Reliability, Stability, and Resilience Analysis

📌 Application Information:
• Application deadline: End of July 2026
• Interviews: June–July 2026
• Applicants with either a Master’s degree or a Bachelor’s degree (seeking direct PhD admission) are encouraged to apply

📧 To apply, please send your CV and relevant supporting materials to:
vhbui@umich.edu
📚 Recent publications from our research group:
https://scholar.google.com/citations?view_op=list_works&hl=en&user=OckjbHUAAAAJ&sortby=pubdate

Our group conducts research at the intersection of power and energy systems, artificial intelligence, optimization, renewable energy integration, and cyber-physical energy infrastructure. Students will have opportunities to work on cutting-edge projects supported by federal agencies and industry partners.

A postdoctoral position is available starting July 15, 2026 in the lab of Prof. Cheng. The project focuses on the interface of nanoparticles, biomaterials, and microorganisms.

Qualified candidates should have a Ph.D. in materials science, bioengineering, microbiology, chemistry, or a related field. Experience with nanomaterials synthesis, biological characterization, or microbe-material interactions is preferred.

To apply: Send a 1-page statement of research interests and a CV to chengq@uwm.edu.

Review of applications begins immediately and will continue until the position is filled.

𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗻𝗲𝘄𝘀! 𝗜 𝗮𝗺 𝘁𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲 𝘁𝗵𝗲 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗹𝗮𝘂𝗻𝗰𝗵 𝗼𝗳 𝘁𝗵𝗲 𝗙𝗶𝗲𝗹𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀, & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝗿𝘆 𝗟𝗮𝗯 (𝗙𝗔𝗥𝗠 𝗟𝗮𝗯) 𝗮𝘁 North Carolina State University!


Beginning this August, I will be joining NC State Department of Biological and Agricultural Engineering as a tenure-track Assistant Professor. The FARM Lab's mission is to develop generalizable, collaborative, and scalable autonomous field robotic systems to solve global agricultural challenges such as labor shortages and resource constraints.

📣 With the launch of the FARM Lab, we are actively looking for 𝟮 𝗣𝗵.𝗗. 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 to join our team in 𝗦𝗽𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟳 (𝗼𝗿 𝗙𝗮𝗹𝗹 𝟮𝟬𝟮𝟳), and the selected applicants will lead the projects in two core areas: 
1️⃣ 𝗥𝗼𝗯𝘂𝘀𝘁 𝗙𝗶𝗲𝗹𝗱 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆 (𝗹𝗼𝗰𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗺𝗮𝗽𝗽𝗶𝗻𝗴, 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻, 𝗽𝗮𝘁𝗵 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴) 𝗶𝗻 𝗿𝘂𝗴𝗴𝗲𝗱, 𝘂𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱, 𝗮𝗻𝗱 𝗺𝗲𝘀𝘀𝘆 𝗮𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀
2️⃣ 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝘂𝘁𝗶𝗹𝗶𝘇𝗶𝗻𝗴 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝘀𝗲𝗻𝘀𝗼𝗿𝘀, 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗺𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗔𝗜

Please see the attached flyer for full details on our research vision and instructions on how to apply.

Looking forward to building the future of field robotics in agricultural applications at NC State! 🐺🐾

Visit lab here: https://kimkt0408.github.io/farm-lab/

Multiple Ph.D. student positions available in my group at Masaryk University. We are looking forward to applications from excellent and motivated candidates 👩‍🔬 with a background in organic chemistry ⚗️ but being open to bridging it with peptide chemistry and chemical biology 🧬.

Check out our website to learn more about us: www.fialalab.com. 📃

Apply here: https://docs.google.com/forms/d/e/1FAIpQLSfE-j6bjG48lMYFHj3GYXL2VBH64VA3Is1wycMh3OY799rSqQ/viewform ✅

Dr. Shisher is recruiting highly motivated PhD students with Graduate Research Assistantships to join his research group in the Department of Electrical and Computer Engineering at the University of Colorado at Colorado Springs. His research group addresses the fundamental research problems at the intersection of wireless communication networks, information theory, optimization/control, and machine learning. Research interests include, but are not limited to

• Goal-oriented semantic communication and networks

• AI for Networks and Networks for AI

• Mobile computing, edge/fog computing, and distributed computing over networks

• Networked machine learning, e.g., federated/decentralized learning
How to Apply: Interested Students should email their 1) CV, 2) Unofficial transcript, and 3) a summary of their research interests to mshisher@uccs.edu .

Please use the subject line Prospective PhD Student-[Your Name] Students may also be asked to complete the formal PhD application through UCCS. For more information, please visit: https://eas.uccs.edu/academics/programs/engineering-concentration-inelectrical-engineering-phd.

Scholarship Project Title: Field2Flour Ireland: Cultivating a sustainable future
The SETU Department of Land Sciences is looking for a PhD student to work on their FIELD2FLOUR Ireland project. Funded by the Irish Department of Food, Agriculture andthe Marine, FIELD2FLOUR Ireland aims to highlight the potential of re-establishing asustainable wheat milling sector in Ireland. Collaborating with Irish grain merchantsand farmers, the project team will trial new international spring wheat varieties atselected sites across the country. The FIELD2FLOUR Ireland team will investigateagronomic performance, grain quality, milling characteristics and food innovation inselected spring wheat cultivars.

Fully-funded PhD Fellowship opportunities in the areas of Agri-Food, Digitalisation, and Sustainability are available at the Department of Land Sciences, South East Technological University. 

Scholarship Project Title: VIP Ingredients: Valorising Innovative Plant Ingredients- Naturally Generated Resource Extracts, DeliveringIndigenous & Essential Nutrition Through Sustainability

Please check out the posts below and apply before the deadline (12th June).
Application procedureComplete the online Application Form from the SETU website quoting the advert referencenumber from above.Please ensure that you upload all supporting documents as part of your submission.Please note that applications must be submitted by this route.For queries relating to the application and admission process please contact the PostgraduateAdmissions Office via email researchadmissions@setu.ie or telephone +353 (0)51

Website: https://www.setu.ie

Passionate about agriculture, AI, drones, robotics, or machine learning? The University of Manitoba is recruiting PhD students in Smart & Digital Agriculture with full stipend support.

📍 University of Manitoba, Canada
🎓 PhD Positions Available
💰 Funded Opportunities
🤖 AI | Drones | Robotics | Precision Agriculture

#PhDOpportunity #Canada #Agriculture #ArtificialIntelligence #MachineLearning #PrecisionAgriculture #GraduateSchool #Research #InternationalStudents #UniversityOfManitoba

The Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) welcomes applications for PhD positions within a collaborative and inclusive research environment. HEIBRiDS projects foster the convergence of data science methodologies with applications in Molecular Medicine, Materials & Energy, Earth & Environment, Geosciences, and Astronomy encompassing topics in the following areas:

• Machine Learning
• Deep Learning
• Explainable AI
• Large Language Models
• Mathematical Modelling
• Statistical Modelling
• Imaging Data Science

Research will be carried out at one of the partner Helmholtz Centers in the greater Berlin area:

• German Research Centre for Geosciences (GFZ)
• Helmholtz Zentrum Berlin (HZB)
• Max Delbrück Center for Molecular Medicine (MDC)

Visit -https://www.mdc-berlin.de/career/jobs/join-our-interdisciplinary-data-science-research-community-berlin-fully-funded-heibrids

Position Summary

The Wettability and Interfacial Surface Engineering (WISE) (https://www.zhaowise.com/) Lab led by Dr. Xiaoxiao Zhao in the Department of Mechanical Engineering at the University of Maine invites applications for one fully funded PhD student position. This position is supported by an externally funded research project developing durable, PFAS-free, liquid-repellent surface finishes for next-generation chemical, biological, radiological, and nuclear(CBRN) protective clothing.

Qualifications

• B.S. or M.S. degree in Mechanical Engineering, Materials Science, Chemical Engineering, PolymerScience, Textile Engineering, Chemistry, or a related field.• Strong interest in surface engineering, polymer coatings, wettability, sustainable materials, protective textiles, or materials characterization.

• Prior research experience in coatings, plasma treatment, polymer chemistry, contact angle measurement, microscopy, spectroscopy, or textile testing is preferred but not required.• For international applicants, English proficiency scores should meet University of Maine graduate admission requirements.

The Wettability & Interfacial Surface Engineering (WISE) Lab (https://www.zhaowise.com/) led by Dr. Xiaoxiao Zhao in the Department of Mechanical Engineering at the University of Maine invites applications for one fully funded postdoctoral researcher position. This position is supported by an externally funded research project developing durable,PFAS-free, liquid-repellent surface finishes for next-generation chemical, biological, radiological, and nuclear (CBRN) protective clothing.Compensation and AppointmentThe annual salary is $60,000 plus benefits. The initial appointment is for one year, with the possibility of renewal contingent upon satisfactory performance.

As part of the Research Alliance Ruhr, the Research Center Trustworthy Data Science and Security is bringing the expertise of its universities together to bridge the gaps between Psychology & Social Sciences, Artificial Intelligence & Machine Learning, Data Science & Statistical Learning, and Cybersecurity & Privacy.
Your profile

A strong Master’s degree in a relevant discipline (e.g., psychology, cognitive science, communication science, human factors)

• Excellent knowledge of empirical research methods and statistical analyses

• Excellent analytical, writing, and communication skills in English

• The ability to work independently and collaboratively in an interdisciplinary setting

• The position is embedded in a creative, attractive, and internationally renowned research environment. With your work, you will play an essential role in developing our new Research Center and outreach with trustworthy technology to the general public. Our international network of researchers and industry partners offers a stimulating work environment. A balanced and family-friendly work-life relationship is important to us; thus, we offer flexible working times or part-time remote home office options.

Read more here: https://www.uni-due.de/karriere/stelle-rar.php?kennziffer=226-26

Research-Understanding Social Acceptance and Support for the Use of Anti-Methanogenic Feed Additives Through Multi-Actor Behavioural Research

Walsh Scholars Reference: 2025208 University: University College Dublin (UCD) Research Institution: Teagasc Location: Teagasc Ashtown, Dublin 15, Co. Dublin Funding: Department of Agriculture, Food and the Marine

Proposed Start Date: September 2026

We are currently recruiting for a fully funded MSc position under the Teagasc walsh scholarship programme, to work on Department of Agriculture, Food and the Marine funded RU-MIT-LESS project, led by Teagasc (Dr Paul Smith as project PI), in collaboration with UCD School of Agriculture and Food Science.

The successful MSc student will work under the supervision of Dr Mohammad Mohammadrezaei (Teagasc Climate Centre) and Dr Vilma Xhakollari (UCD) on:
Understanding Social Acceptance and Support for the Use of Anti-Methanohenic Feed Additives Through Multi-Actor Behavioural Research

Funding includes:

Annual stipend of €25,000.

€6,000 contribution towards tuition fees.

Location:

The student will be based across the Department of Agrifood Business and Spatial Analysis, Teagasc Ashtown Food Research Centre, and UCD School of Agriculture and Food Science, Dublin.

This is an excellent opportunity for candidates interested in climate change, agriculture, behavioural science, and sustainable livestock systems.

Application deadline: 19 June 2026, 5:00 pm (Irish time).

The Sugarcane Breeding and Quantitative Genetics Lab is looking to add a new team member. This is a grant-funded assistantship starting on August 1, 2026.

Description: Responsibilities will include engaging in relevant research to improve sugarcane breeding methods for the Louisiana Sugarcane Variety Development Program. Research topics can be in the areas of phenotypic analysis of breeding trials, genotype-by-environment analysis, predictive breeding approaches, high-throughput phenotyping, genomic integration, and general pipeline optimization projects. Thesis project objectives will be outlined according to the timeline of the projects and the skillset of the candidate. Specific duties will include, but are not limited to, planting, harvesting, processing harvested samples in the sugarcane laboratory, data collection and entry, data analysis and reporting, and operation of laboratory and/or field equipment and instrumentation as appropriate.

Qualifications: The position requires a B.S. degree in agronomy, environmental sciences, plant science, applied statistics, data science, biology, or a closely related field. Background and understanding of statistical principles, relevant software experience, and/or experience with precision ag/GIS/unmanned aerial vehicle technologies are preferred. Farming and/or field crop experience in sugarcane is desirable.

Application Process: The research assistantship is dependent on successful admission of the candidate into the LSU Graduate School in the College of Agriculture, School of Plant, Environmental, and Soil Sciences Master of Science Program. Email a cover letter, CV, and a list of at least (3) references to bablanchard@agcenter.lsu.edu. Deadline is 6/30/2026 or until a suitable candidate is identified.

Hiring two highly motivated Ph.D. students to join my research team in the Department of Automotive Engineering at Clemson University. The selected students will conduct research focused on advancing rechargeable battery technologies, particularly in the following areas:

1. Advanced battery materials
2. Data-driven battery development
3. Battery manufacturing

The Ph.D. students will collaborate with a multidisciplinary research team and have access to materials synthesis and processing facilities, state-of-the-art characterization tools, and a pouch cell manufacturing line.

Background and Skills:
Applicants should have a strong background in materials science and electrochemistry, along with programming and data science skills. Experience in materials synthesis and advanced characterization techniques is highly desirable. Prior scientific publications will be considered favorably during the application review process.

Responsibilities:
The prospective Ph.D. students will be expected to engage in the following activities:
- Synthesis, processing, and characterization of battery materials
- Fabrication and electrochemical characterization of (coin- and pouch-type) batteries
- Application of data science and machine learning techniques for battery development, diagnostics, and predictive modeling
- Establishment and validation of physics-based models for the newly developed batteries
- Preparation of technical reports, research presentations, and scientific manuscripts for publication

How to Apply:
Interested candidates should email their application materials to ssabet@clemson.edu. Please include a CV and a one-page statement describing how your background and skills align with the position. The anticipated start date is either Fall 2026 or Spring 2027.

Multiple PhD positions are available at Penn State Mechanical Engineering related to one or more of the following topics: digital twins, and autonomous manufacturing. The successful Ph.D. applicants will be awarded a competitive scholarship covering both tuition and living expenses. Expected Start Date: August 2026 / January 2027.

Preferred Experience: Strong background in one or more of these areas: controls, machine learning, applied mathematics. Master’s degree is preferred but not required. Hands-on experimental experience is a plus.
 
Application Process: Interested candidates should email their detailed CV to Satadru Dey at skd5685@psu.edu with subject line “PhD Position – Penn State ME”.

Excited to share that the GISense Lab at The University of Texas at Austin is looking for a Postdoctoral Researcher in Human-centered GeoAI and Geospatial Data Science. If you are passionate about using GeoAI to understand how people sense and experience places, come build the future of GeoAI with us! 🌍✨

🔬 We aim to push the frontier of GeoAI by developing generative AI, vision-language models, diffusion models, and multimodal "World Models," and applying them to rich multi-source spatiotemporal data: street view imagery, soundscapes, and human behavioral data (EEG, eye-tracking, fMRI, human mobility). We hope to answer questions across environmental psychology, urban science, and public health to empower the understanding of human-environment relationships.

🧭 We are looking for a PhD (completed or near completion) in GIScience, Geography, Computer Science, Data Science, Urban Planning, or a related field.

📩 How to apply: Send your CV, a cover letter, 2–3 representative papers, and contacts for 3 references to gisenselab@outlook.com. Review begins July 1 and continues until the position is filled.

Learn more about the lab: https://sites.utexas.edu/gisense/

Ali Behnood, Ph.D. research group at the University of Mississippi is looking for a highly motivated PhD student to join our team.

This position focuses on cutting-edge research at the intersection of:
---Physics-informed AI
---Infrastructure materials (asphalt & cementitious systems)
---Digital twins
---Uncertainty-aware prediction
---Climate resilience and sustainability

The selected candidate will work on developing next-generation, data-driven and physics-guided frameworks to enhance the performance, durability, and resilience of civil infrastructure systems.

We are looking for candidates with a strong background in:
---Civil Engineering, Materials, or related fields
---Data analytics / machine learning (preferred but not required)
---Programming skills (e.g., Python)

email: abehnood@olemiss.edu
Visit : https://olemiss.edu/profiles/abehnood.php
If you are interested (or know someone who might be), please feel free to reach out or share your CV

We are hiring a Ph.D. student in Computer Science to join our research team at Kennesaw State University (KSU), starting in the Spring 2027 semester.
I am looking for highly self-motivated students interested in security and privacy research, particularly in mobile, web, crowdsourcing, and AI-driven systems.

🎓 Requirements
1. Degree: A B.S. or M.S. degree in Computer Science, Information Technology, or a closely related field.
2. Basic background: Foundational knowledge of security and privacy, demonstrated through relevant coursework, research experience, professional certification, or hands-on projects.
3. Preferred background: Prior peer-reviewed research publications in security, privacy, or related areas.

🏫 About Kennesaw State University
KSU is a Carnegie-designated R2 research institution located in the metro-Atlanta area. Students in the Ph.D. in Computer Science program study at KSU’s Marietta Campus, which offers a welcoming, accessible, and conveniently located environment within the metro-Atlanta region.
As one of Georgia’s largest and fastest-growing universities, KSU places a strong emphasis on innovative research that advances society and prepares graduate students to address real-world challenges.

-For more information about the University, please visit the University homepage: https://www.kennesaw.edu/

-For more information about the doctoral program in Computer Science, please visit the official program page: kennesaw.edu/degrees-programs/doctoral-degrees/computer-science.php

📩 How to Apply
Interested applicants are encouraged to email Dr. Anhao Xiang at axiang@kennesaw.edu.
Please include the following materials in your email:
1. A brief self-introduction outlining your research interests and motivation.
2. Your latest CV.
3. Unofficial academic transcripts.
4. PDF copy of security or privacy-related publications, if applicable.
Please use the subject line:
[Ph.D. Application - Spring 2027 - YourLastName]

Students seeking M.S.-level research opportunities in related areas are also welcome to reach out! Please use the email subject line: [M.S. Application - Spring 2027 - YourLastName].

This fall I'll be starting as a tenure-track Assistant Professor in the Department of Civil, Materials, and Environmental Engineering at University of Illinois Chicago. I am very thankful to all my colleagues, students, and friends at Utah State University and across Utah who made my time here so wonderful and productive.

At UIC, I'm building the Human-Infrastructure Systems Lab (Hi Lab), and am looking to hire great PhD students for Fall 2026 and Spring 2027. The Hi Lab will study how people experience and navigate infrastructure systems and emerging mobility technologies under stress, including natural hazards, disasters, institutional disruptions, cascading infrastructure failures, and how institutions respond and govern adaptively. I am especially interested in working with students who want to pursue equity and justice-focused research questions.

Due to the very uncertain visa climate here in the US, I am focusing on hiring US-based students (or international students already based in the US with a visa). Please share this post with anyone you know who may be a good fit! See the link below for more details. Thanks!

Looking to hire a brilliant PhD candidate to work with me on an exciting new project on AI and Human Autonomy.

The position one of a cohort of 14 PhD studentships in UCD as part of a new multi-institutional interdisciplinary national centre for AI funded by Research Ireland. Studentships provide a stipend of €25,000 per year for four years (tax free) with additional funds available to support conference attendance and training activities and fees.

The project I am supervising along with David Coyle, UCD would suit people with a range of different backgrounds from cognitive science, psychology, philosophy, literature, social science, AI or computational lingustics etc...

The project theme is AI and Human Autonomy. We aim to examine how AI may affect human cognition and autonomy and uncover design features of GenAI applications that enhance independent human reasoning, deliberation and protect human agency. This project theme would suit people with a range of backgrounds.

Candidates interested in this theme may fill in this form: https://docs.google.com/forms/d/e/1FAIpQLSdNkxqnr78-W_KjJkkXABE1QklNCNjItlQqic3ooSVCCZFxBQ/viewform

I’m recruiting PhD students in AI/ML/Stats (26/27), and also welcome visiting students/interns.

Our research focuses on the next generation of intelligence with causal understanding and actions. Instead of only fitting data, we aim to uncover and leverage the underlying mechanisms behind it, spanning:

• Causality-based Learning / Trustworthy ML
• Foundation models / World Models / Multi-Agent Systems
• Scientific Discovery

We believe truthful understanding is important not only for trustworthiness, but also for efficiency: helping models learn, reason, and plan more effectively, with less noise, hallucination, and reliance on scaling.
More Info: https://yjzheng.com/

Position Code: 2026‑01‑WRH

Our research group in the Department of Civil and Mineral Engineering at the University of Toronto (https://lnkd.in/eWQXhJva) is seeking a motivated graduate research student (MASc or PhD) to join the group starting in January 2027 on a fully funded position. Funding will be aligned with the funding packages of our department (https://lnkd.in/eUEgy8Qb).

The research will focus on the application of semi-autonomous monitoring techniques to support water resources planning and management. This includes developing AI-driven approaches to guide monitoring, analysis, and decision support in water resource systems, utilizing UAVs and USVs. Applicants should have an academic background in Civil Engineering, Water Resources Engineering, Environmental Engineering, or a related field. PhD applicants should hold Bachelor’s and Master’s degrees, and MASc applicants must hold a Bachelor’s degree. A strong background in Python programming is required. Experience in water resources modelling, data science, machine learning, remote sensing, UAV and USV systems, or related areas is an asset.

Applicants must fulfil the following requirements:
- MASc applicants 𝐦𝐮𝐬𝐭 𝐛𝐞 𝐝𝐨𝐦𝐞𝐬𝐭𝐢𝐜, and PhD applicants can be domestic or international.
- PhD applicants must hold undergraduate and master’s degrees with GPA averages of at least B+ (3.3/4.0 or 78%).
- MASc applicants must hold an undergraduate degree with a GPA average of at least B+ (3.3/4.0 or 78%).
- For International degrees, use the International Degree Equivalencies Tool to find grade equivalencies (https://lnkd.in/g2t-czXn).
- Meet the English Language Proficiency Requirements of the department (https://lnkd.in/g_ydepDV).

𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐜𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞𝐬 𝐰𝐡𝐨 𝐦𝐞𝐞𝐭 𝐭𝐡𝐞 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐜𝐚𝐧 𝐬𝐮𝐛𝐦𝐢𝐭 𝐚𝐧 𝐞𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐨𝐟 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐢𝐬 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐨𝐫𝐦: https://forms.office.com/pages/responsepage.aspx?id=JsKqeAMvTUuQN7RtVsVSEAI19Ady5bNDin7GM7L8n9xUNlBaVUlOU1o2MFNCV1MwU1lLNFZGUVhOSi4u&route=shorturl. Please note that if you have previously submitted this form for another position, you will need to complete it again, as each position is evaluated separately. Shortlisted candidates will be contacted for an interview. Please enter the position code (2026‑01‑WRH) in the expression of interest form, where requested.

I am recruiting highly motivated PhD students to join my research group at Penn State’s University Park campus for Fall 2026. The positions are expected to be fully funded and will provide competitive graduate assistantship packages.

My group will focus on research at the intersection of structural engineering, advanced materials, automated construction, large-scale experimental testing, computational modeling, and AI-assisted simulation.

I am especially interested in students with strong preparation in one or both of the following areas:
1. Experimental, fabrication, and hands-on research, including advanced materials, automated construction, instrumentation, data acquisition, and structural testing.
2. Computational modeling, programming, and AI-assisted simulation, including mechanics, materials, microstructures, construction processes, and infrastructure performance.

More information and application instructions are available here:

https://botongzheng.com/Apply.html

Seeking 𝘁𝘄𝗼 𝗳𝘂𝗹𝗹𝘆 𝗳𝘂𝗻𝗱𝗲𝗱 𝗣𝗵.𝗗. 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗙𝗮𝗹𝗹 𝟮𝟬𝟮𝟲 in the Remote Sensing and Agricultural Intelligence (RSAI) Lab within the Department of Geography and Geospatial Sciences and the Geospatial Sciences Center of Excellence at South Dakota State University.

The selected students will join the Geospatial Science and Engineering Ph.D. program and work on AI, computer vision, and multiscale imaging research for plant phenotyping and precision agriculture. Research will involve deep learning model development, image classification, object detection, segmentation, quantitative plant trait assessment, and digital tool development using laboratory, greenhouse, field, UAV, and remote sensing imagery.

Preferred qualifications include strong programming skills, experience with Python and deep learning frameworks, image analysis or computer vision experience, prior research experience, publications, and interest in web applications or digital tool development.

Interested applicants should compile the following materials and send them via email:

 1. Curriculum vitae or resume
 2. Undergraduate and master’s transcripts
 3. Contact information for three references

Please send application materials to Dr. Maitiniyazi Maimaitijiang at Maitiniyazi.Maimaitijiang[at]sdstate.edu.

Review of applications will begin immediately and continue on a rolling basis until the positions are filled.

Applications are open for MS and PhD programs in Physics beginning Fall 2026 at South Dakota State University.

Dr. Parashu Kharel is looking to recruit up to two PhD students to join his research group in experimental condensed matter physics, with a focus on the development and characterization of magnetic materials.

This is a great opportunity for students interested in:

• Condensed matter physics

• Magnetic materials research

• Experimental materials characterization

• Advanced physics research at the graduate level

Interested students are encouraged to contact Dr. Kharel directly for more information:

📧 parashu.kharel@sdstate.edu

Currently recruiting PhD/MSc students for Fall 2026 or Winter 2027 in the Department of Electrical and Computer Engineering (ECE) at the University of New Brunswick (UNB) in Fredericton, NB, Canada.

The selected candidates will receive full financial support and work on cutting-edge research in the following areas:
𝟱𝗚/𝟲𝗚 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀
• Integrated sensing and communication (ISAC), wireless power transfer, millimeter-wave communications, RFID, MIMO, and OTFS
• Channel estimation, signal detection, multiple access techniques, and wireless resource management
𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗪𝗶𝗿𝗲𝗹𝗲𝘀𝘀 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀
• Generative AI, large language models (LLMs), and foundation models for communication systems
• Distributed learning, optimization, and autonomous operation for wireless networks

🎈Dr. Jie Chen was named to the World’s Top 2% Scientists list and has published 29 papers in leading IEEE venues, including 11 first-authored journal papers, with over 3,600 citations. He has received multiple recognitions, including 3 ESI Highly Cited Papers (Top 1%), 1 ESI Hot Paper (Top 0.1%), a Best Paper Award, and the 2024 IEEE London Section Communications Chapter Outstanding Engineer Award.

🎈 Highly self-motivated students with strong interests in these areas are warmly encouraged to apply. Please refer to the attachment for the application details.

🎈Due to the high volume of applications, only selected candidates whose backgrounds closely match the research directions will be contacted for an interview, typically within one to two months of receiving their application.

🎈I look forward to working with outstanding students and pursuing exciting research together.

The deadline for guaranteed consideration is today, but applications will be considered until the positions are filled. Positions can have a delayed start if necessary.
Project Description For guaranteed consideration, please apply by May 22, 2026. Email adam.noel@mun.ca for informal inquiries or additional information Molecular communication (MC) is an emerging interdisciplinary field within communication engineering and inspired by signaling with molecules in nature. Many of our normal biological processes use molecular signaling, and it is also common in biomedical and biological research. Tools from MC can be used to understand the signaling processes used by bacteria, cancer cells, neurons, plants cells, and more, thereby encouraging us to develop strategies that strengthen healthy communication links or deter unhealthy links. Although agar plates in Petri dishes are commonly used for lab bench biological experiments with bacteria, fungi, and more, there is limited understanding of molecule propagation in these environments and a lack of established mathematical models. The BioPhysComm Lab has performed proof-of-concept experiments for data capture with bacteria and developed a rudimentary mathematical model, but a more structured approach is needed to produce reliable data and develop corresponding models. This employment opportunity is for a Ph.D. student to develop rigorous mathematical models to describe signal propagation in Petri dishes and experimental protocols to test and verify results. Results will also be validated against multi-scale simulations.

https://www.engr.mun.ca/~adamnoel/group.html

The deadline for guaranteed consideration is today( 22nd), but applications will be considered until the positions are filled. Positions can have a delayed start if necessary.

The BioPhysComm Lab seeks a new Ph.D. student to undertake research to understand how molecules propagate across layers with distinct physical properties. This project will be primarily focused on theoretical and simulated results, and will include experimentation through collaborators.

If you are interested in any of the positions above, then follow the instructions therein to prepare your application and email it to adam.noel@mun.ca.

If you are interested in joining the BioPhysComm lab with external funding, please email adam.noel@mun.ca for a preliminary inquiry. You should briefly explain why you are interested in the BioPhysComm Lab and attach an up-to-date CV. We can support applications to external scholarships (e.g., NSERC awards or other national scholarships) for highly-qualified individuals.

Recruiting a PhD student to join the UCD School of Mathematics and Statistics, working with me and Prof. Paula Carroll (UCD School of Business).
📊 The Project: “Advanced Directional Time Series Models for Wind Direction Analysis and Forecasting”
📅 Start Date: September 2026
This position is associated with a newly established research centre in Data Science and AI, funded by Research Ireland.

💰 Funding Includes:
Stipend: €25,000 per year
Fees: €5,750 covered per year
Conference Travel: €4,500
Equipment: €3,000
Materials: €5,000
🗓️ Application Deadline: June 2, 2026
How to Apply & Learn More:
1️⃣ Apply Here: Submit your application directly through the link: https://docs.google.com/forms/d/e/1FAIpQLSdNkxqnr78-W_KjJkkXABE1QklNCNjItlQqic3ooSVCCZFxBQ/viewform
2️⃣ Read the Attachment: Please see the attached PDF for details on the new research centre, this specific call, and other fully-funded PhD opportunities available.
3️⃣ Project Details: See the brief project description below! 👇
If you have any questions or would like to discuss the role further, please feel free to reach out to me via email at wagner.barreto-souza@ucd.ie. Please share this with anyone in your network who might be interested!

Project Summary
The Context & Challenge: To support Ireland's ambitious goal of generating 80% of its electricity from renewables by 2030, optimising wind energy is crucial. However, wind behavior is highly volatile, and the current statistical methods used to analyse directional (circular) time series data are underdeveloped.
Project Objective: This research will develop novel, specialised statistical methodologies to accurately model directional time series. The project will move beyond standard linear models to handle circular data structures, utilising high-quality datasets from the Sustainable Energy Authority of Ireland and Met Éireann.
Three Core Phases
1. Circular Autocorrelation: Refining models to better understand how current wind directions influence future patterns.
2. Integrated Modelling: Creating methods that analyse wind speed and direction together for a comprehensive view of wind behavior.
3. Diagnostic Tools: Establishing rigorous testing suites to evaluate model accuracy, reliability, and forecasting power.
Broader Impact: This research will ultimately provide a robust mathematical framework that goes beyond wind energy. It might be adaptable to various fields reliant on directional data, such as oceanography and meteorology, bolstering global efforts in climate action and renewable resource management.

1️⃣ Apply Here: Submit your application directly through the link: https://docs.google.com/forms/d/e/1FAIpQLSdNkxqnr78-W_KjJkkXABE1QklNCNjItlQqic3ooSVCCZFxBQ/viewform

Looking for motivated MS/Ph.D. students to join my research group in the Department of Electrical and Computer Engineering at Georgia Southern University.

The student will work on research topics related to:
• Robotics and autonomous systems
• Multi-robot coordination and deployment
• Sensor networks and optimal sensor placement
• Stochastic modeling and uncertainty-aware decision-making
• UAV/USV-based environmental monitoring and infrastructure inspection
• Machine learning-assisted optimization for real-time robotic systems
The ideal candidate should have a strong background or interest in one or more of the following areas:
• Robotics, control systems, or autonomous systems
• Optimization, probability, stochastic processes, or machine learning
• Programming in Python, MATLAB, C++, ROS/ROS2, or related tools
• UAVs, mobile robots, sensors, or field experiments

Students with backgrounds in electrical engineering, computer engineering, mechanical engineering, robotics, computer science, or related fields are encouraged to apply.

The position will involve both theoretical research and hands-on implementation using robotic platforms, sensors, and real-world data. The student will have opportunities to work on externally funded research projects, publish papers, and collaborate with academic and industry partners.

Interested applicants should send me the following materials:
1. CV or resume
2. Unofficial transcripts
3. A brief statement of research interests
4. Any relevant publications, projects, GitHub links, or portfolio materials, if available

Please contact me at mingyu272@gmail.com or message me directly on LinkedIn.

Mingyu (Ben) Kim, Ph.D.
Assistant Professor
Department of Electrical and Computer Engineering
Georgia Southern University

Faculty of biosciences and aquaculture, Nord University, Norway, invites applications from outstanding candidates for a three-year PhD position in animal science.

Join an innovative PhD project tackling one of dairy farming’s most debated welfare challenges: early cow–calf separation. By the development of AI-based tools to measure cow–calf interactions, the project aims to generate new scientific insights into CCC systems and contribute to future welfare policy for cow-calf housing.

If you are interested in the cross-section of animal behaviour research and automatic animal monitoring – this project is for you! The project will include an animal trial at the Livestock Production Research Centre, NMBU, Ås, Norway and the successful candidates will be expected to travel for research stays, courses and conferences.

The successful candidate will be part of one of the academic divisions Animal Science, Production and Welfare. This is a three-year contract based in Steinkjer, Trøndelag, Norway.

Apply though https://www.jobbnorge.no/en/available-jobs/job/299800/phd-development-of-automatic-monitoring-of-dairy-cow-and-calf-behaviour

We are excited to announce a new PhD position in Statistics. This project, focuses on developing advanced statistical methods for spatial and spatio-temporal data, with applications in areas such as epidemiology, ecology, and social sciences.

We are looking for a motivated candidate with:
• A Master’s degree in statistics or a related field
• Strong interest in methodological development
• Programming skills (R is a plus)

The position is aimed at a doctoral degree and the doctoral student's main task is to devote himself to his own research education, which includes both active participation in research projects and research courses. The duties may include teaching or other departmental work (up to 20%). The position is limited in time to four years full-time or up to five years for part-time teaching. Monthly salary according to the established salary scale for doctoral student employment at Umeå University. Entry into the position in autumn 2026 or by agreement.

📅 Application deadline: July 12

Apply here: https://umu.varbi.com/what:job/jobID:937876/

Looking for 𝐡𝐢𝐠𝐡𝐥𝐲 𝐦𝐨𝐭𝐢𝐯𝐚𝐭𝐞𝐝 𝐏𝐡𝐃 𝐚𝐧𝐝 𝐌𝐒𝐜 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 to join our research team at 𝐂𝐨𝐧𝐜𝐨𝐫𝐝𝐢𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 starting 𝐅𝐚𝐥𝐥 𝟐𝟎𝟐𝟔/𝐖𝐢𝐧𝐭𝐞𝐫 𝟐𝟎𝟐𝟕, working on cutting-edge topics in wireless communications, AI, and 6G networks.

👨‍🏫 Supervision
Prof. Chadi Assi & Dr. Mohamed Elhattab

✅ Self-funded candidates are welcome.

🔍 Preferred Background
• Wireless Communications
• Signal Processing
• AI / Machine Learning
• Optimization

📌 Requirements
• For PhD applicants: MSc degree completed by Aug. 2026/Dec.2026
• Strong research background/publications are a plus
• GPA ≥ 3.4/4.0 (≥ 85%)
• Experience or interest in AI-based wireless systems (Preferred)
• Programming skills in Python (TensorFlow/PyTorch) and/or MATLAB

🧠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐀𝐫𝐞𝐚𝐬
• Advanced transceiver design
• AI-native RAN & edge intelligence
• Intelligent resource management & network optimization & Open-RAN
• Integrated sensing & communications
• Secure and self-organizing networks

📩 𝐓𝐨 𝐚𝐩𝐩𝐥𝐲, 𝐩𝐥𝐞𝐚𝐬𝐞 𝐞𝐦𝐚𝐢𝐥:
mohamed.elhattab@concordia.ca

Include:
• Detailed CV
• Transcripts & certificates
• Publications (if any)
• 1-page motivation letter

Email subject: 𝐏𝐡𝐃/𝐌𝐒𝐜 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 – 𝐅𝐚𝐥𝐥 𝟐𝟎𝟐𝟔/𝐖𝐢𝐧𝐭𝐞𝐫 𝟐𝟎𝟐𝟕

𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐉𝐮𝐧𝐞 𝟏𝟓𝐭𝐡, 𝟐𝟎𝟐𝟔.

𝑂𝑛𝑙𝑦 𝑠ℎ𝑜𝑟𝑡𝑙𝑖𝑠𝑡𝑒𝑑 𝑐𝑎𝑛𝑑𝑖𝑑𝑎𝑡𝑒𝑠 𝑤𝑖𝑙𝑙 𝑏𝑒 𝑐𝑜𝑛𝑡𝑎𝑐𝑡𝑒𝑑.

I am looking for Ph.D. students with full scholarship support to join my research group in the Bert S. Turner Department of Construction Management at LSU.

The student will work on AI-enabled construction and infrastructure systems, including AI/data analytics, digital twins, computer vision, 3D reconstruction, virtual reality, and human-centered AI.

Students from construction management, civil engineering, computer science, data science, or related fields are welcome to apply. Experience with programming, machine learning, BIM/digital twins, or VR is a plus.

Preference will be given to students who are already in the U.S. and can start in Fall 2026 or Spring 2027.

Interested students are welcome to send CVs and expected start dates to yanyuwang@lsu.edu.

I look forward to hearing from motivated students and exploring exciting research opportunities together!

Clemson University is seeking a funded PhD student for Fall 2026/Spring 2027 in Forage-Livestock Systems 🌱🐄

Great opportunity for students interested in:
• Agronomy
• Crop & Animal Sciences
• Sustainability Research
• Field & Extension Work

#PhDOpportunity #GraduateSchool #Agriculture #Research #ClemsonUniversity #STEM #InternationalStudents

Dr. Jim Jones and Khasawneh are hiring a Postdoctoral Research Associate for a federally funded project developing a resilient security architecture for next-generation ground vehicles, in collaboration with Clemson University.

We're looking for a Ph.D. in ECE, CS, or a related field, with FPGA experience and a hardware security background. Experience with CAN protocols, ML-based anomaly detection, or TrustHub is a plus. US Citizens or Permanent Residents only. Full-time, one-year initial term with possible renewal. Immediate start date.

Interested applicants: send a CV and brief research statement to jjonesu@gmu.edu and kkhasawn@gmu.edu.

At NC State, I will launch the 𝑷𝑨𝑹𝑰𝑺 (𝑷𝒉𝒚𝒔𝒊𝒄𝒂𝒍 𝑨𝑰, 𝑹𝒐𝒃𝒐𝒕𝒊𝒄𝒔, 𝒂𝒏𝒅 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒕 𝑺𝒚𝒔𝒕𝒆𝒎𝒔) 𝑳𝒂𝒃 🌍🤖 with a mission to advance intelligent systems that can perceive, reason, learn, and act in the physical world.

The PARIS Lab will pursue three interconnected research directions:
🧠 𝐄𝐦𝐛𝐨𝐝𝐢𝐞𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐀𝐈:
developing AI models and algorithms that enable machines to understand complex environments, reason about actions, and make reliable decisions in real-world settings.
🤖 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧-𝐦𝐨𝐝𝐞𝐥-𝐝𝐫𝐢𝐯𝐞𝐧 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬:
advancing robot navigation and manipulation through vision-language-action models, world models, and generalizable robot learning frameworks.
🤝 𝐇𝐮𝐦𝐚𝐧-𝐜𝐞𝐧𝐭𝐞𝐫𝐞𝐝 𝐚𝐧𝐝 𝐚𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬:
creating AI and robotic systems that can collaborate naturally with people, continuously learn from interaction, and adapt safely to new tasks and environments.

𝐈 𝐚𝐦 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐢𝐧𝐠 𝐏𝐡.𝐃. 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐒𝐩𝐫𝐢𝐧𝐠 𝟐𝟎𝟐𝟕 𝐚𝐧𝐝 𝐅𝐚𝐥𝐥 𝟐𝟎𝟐𝟕. Prospective students interested in physical AI, robotics, robot learning, foundation models, and human-AI collaboration are very welcome to reach out. If you are interested in working with me, please reach out without hesitation. Please send your 𝐂𝐕 𝐚𝐧𝐝 𝐚 𝐛𝐫𝐢𝐞𝐟 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐬𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 to zhiyuh001@gmail.com.

I also warmly welcome collaborations with researchers, students, and industry partners who share similar interests.

A fully funded Faculty of Science and Engineering Doctoral Scholarship (Department of Biology) is available in my lab at Maynooth University starting September 2026.

This four year project will use molecular approaches to elucidate complex interactions between barley and diverse lineages of mycorrhizal fungi. Mycorrhizal symbiotic relationships may offer a potential natural-based solution to mitigate crop stress in agricultural ecosystems. Plant tolerance to two stresses relevant to the Irish context, waterlogging and fungal pathogens will be investigated.

This project will allow the PhD student to develop strong skills in (i) fungal biology by working both with mycorrhizal fungi and fungal pathogens; (ii) plant responses to abiotic and biotic stresses; (iii) molecular approaches such as the monitoring of gene expression using RNA-seq.

The scholar will participate in the structured PhD Programme and receive:
• €25,000 annual stipend (tax free)
• University fees covered.

 📍 Based at Department of Biology, Maynooth University, Ireland
📅 Application deadline: 5pm, 19th June 2026

Further information in attached advertisement.

Please submit applications directly to: grace.hoysted@mu.ie with ‘Biology PhD 2026’ in the subject line.

The Trustworthy and Secure AI (TSAI) Lab at the University of New Brunswick (UNB) invites applications for a fulltime Postdoctoral Fellow position (initial 1-year term and can be extended depending upon the availability of funding and satisfactory performance) starting July 2026. This position focuses on Secure AI and adversarial machine learning, with opportunities to work on problems spanning robust machine learning and attack and defense mechanisms. The position is supported by active research funding and offers fast onboarding with immediate project engagement.

Looking for a PhD student to join my research at Maynooth University starting in October 2026.
Research topic: Multimodal Learning for Abdominal X-ray Report Generation with Large Language Models.
Funding includes full tuition fees + €25,000 annual stipend for up to 4 years.
Ideal candidates should have a background in deep learning and computer vision, with experience in Python & PyTorch. Experience with MLLMs or vision-language models is a plus.
Please send your CV, transcripts, research proposal, and referee details to: zi.ye@mu.ie
Application deadline: 1 July 2026.

Pleased to share two exciting Research Assistant positions within the Department of Computer Science at Birmingham City University (STEAMhouse).

These roles are part of a DTNet+ funded project focused on AI-enhanced digital twins for Positive Energy Districts, bringing together artificial intelligence, digital twin modelling, energy systems, sustainability, and real-world innovation.

🔹 Position 1: Research Assistant in AI and Digital Twin Modelling
Reference: ABCE26025
Focus: AI/ML, deep learning, digital twin prototype development, predictive modelling, intelligent optimisation, and large-scale data analysis.
Link: https://lnkd.in/eyhNnrud

🔹 Position 2: Research Assistant in Energy Systems and Digital Twin Applications
Reference: ABCE26026
Focus: energy systems, sustainability, real-time and historical data integration, pilot case studies, fieldwork, system testing, validation, and performance evaluation.
Link: https://jobs.bcu.ac.uk/vacancy.aspx?ref=ABCE26026

📍 Location: Belmont Row (STEAMhouse), Birmingham City University
⏳ Contract: Six-month fixed-term, part-time role, 29.6 hours per week
💷 Salary: £38,050 to £44,131 per annum, pro rata
📅 Closing date: 23:59 BST, Wednesday 03 June 2026
🗓 Interviews: Provisionally scheduled for 15 June 2026

This is an excellent opportunity for motivated researchers who want to contribute to applied, interdisciplinary research with direct relevance to AI, digital twins, smart cities, sustainability, and future energy systems.

For informal enquiries, please contact me at:
syedattique.shah@bcu.ac.uk

My research group in the Department of Civil and Environmental Engineering at the University of Maryland, College Park, has an immediate opening for a Ph.D. student. The student will work on cementitious materials, durable concrete, novel binders, and/or 3D printing, with opportunities to collaborate on interdisciplinary research projects. Applicants with a background in construction materials, cement chemistry, concrete durability, or related fields are encouraged to apply. Due to the immediate start timeline, students currently in the United States are preferred. Interested candidates are welcome to contact me with a CV and a brief statement of research interests at jqwei@umd.edu

Looking for a PhD student to join a new project at the interface of computational chemistry, AI, and polymer science.

The project focuses on the AI-guided design of dynamic interfacial linkers for recyclable polymer blends, combining automated quantum chemistry, graph neural networks, and active learning with experimental validation at ESPCI Paris.

The position is jointly hosted at Chimie ParisTech – PSL and ESPCI Paris – PSL in Paris.

Candidates with interests in computational chemistry, machine learning, molecular modeling, or scientific Python workflows are encouraged to apply.

Application deadline: June 8th (17h). More details in the advertisement below.

I am looking to recruit several highly motivated PhD students to join my research group at Texas A&M University with experience and published records on:

Multifunctional metasurfaces and composites manufacturing
Nanomanufacturing
Energy harvesting and charge transport
Thin film fabrication
Device and microsystems fabrication
Multiscale computational modeling (DFT, MD, multiphysics).

Please send your CV, transcript, and brief research statement to:
amir.asadi@tamu.edu

At the MEGA group (Mathematical Engineering with Genomics and AI), we are building next-generation generative and causal AI systems for:
• Virtual Cells
• Virtual Tissues
• Virtual Whole Organs

The projects sit at the intersection of:
🧬 spatial genomics
🔬 bioimaging
🧠 generative AI
📐 mathematics & physics-inspired ML
🏥 medicine

You will work on developing new machine learning methods for multimodal biomedical data, including:
• single-cell and spatial omics
• histology and imaging
• perturbation modeling
• causal inference
• generative models of tissues and organs

The lab is based at the Center for AI in Medicine CAIM and the Department of Medicine III at the Medical University of Vienna.

I’m especially looking for highly motivated candidates with strong backgrounds in one or more of:
• machine learning
• computational biology
• mathematics / theoretical physics
• biomedical data science

Strong Python/PyTorch skills are highly desirable.

The Precision Crop Protection Laboratory at the University of Georgia is seeking a Graduate Research Assistant in Engineering for Spring 2027.

🔬 Research Focus:
AI-Integrated Robotics for Crop Biotic Stress Management

📌 Eligible Backgrounds:
• Agricultural Engineering
• Mechanical Engineering
• Biosystems Engineering
• Electrical Engineering
• Computer Science & Engineering
• Related Engineering Fields

💰 Benefits:
✅ Competitive stipend
✅ Tuition waiver
✅ Research opportunities in AI, sensing, and robotics

Candidates with research experience or publications in AI, robotics, or sensing are highly encouraged to apply.

📅 Position will be filled immediately.

For details and application requirements, see the flyer below and contact:
Dr. Md Sultan Mahmud — s.mahmud@uga.edu

#PhD #GraduateSchool #ResearchAssistant #Robotics #ArtificialIntelligence #Engineering #UniversityOfGeorgia #Scholarship #STEM #ResearchOpportunities #Inested

I am seeking one highly motivated PhD student for Fall 2026 in the PhD in Engineering Program at Texas A&M University-Kingsville to work on cutting-edge research in Software Engineering, especially in one of the following areas:
🔹 Intersection between AI and Software Engineering
🔹 Cybersecurity
🔹 Software Quality Assurance

The research will focus on developing intelligent and reliable software engineering techniques that combine large language models, program analysis, software security, and empirical software engineering. Possible topics include improving the reliability and correctness of LLM-generated code; detecting and mitigating security vulnerabilities in modern AI based software systems.

Preferred background includes software engineering, machine learning, cybersecurity, or related areas. Strong programming and research skills are highly encouraged. Preference will be given to applicants who are currently residing in the United States and already hold an MS degree.

Interested students should send an email with:
📄 CV
📄 Unofficial transcripts
📄 Brief research statement (1–2 paragraphs describing your interests and how they align with my work)

to: 📧 tarek.mahmud@tamuk.edu
with Email Subject: PhD Applicant for Fall 2026 - [Last name of the applicant]

🔗 About TAMUK: https://www.tamuk.edu/
🔗 About TAMUK Doctoral Program in Engineering: https://www.tamuk.edu/engineering/PhD-in-Engineering.html

⚠️ Please note that LinkedIn comments or direct messages regarding Ph.D. applications will not be considered. All inquiries must be sent via email.

This PhD project is based at RMIT University (Melbourne) as a part of our ARC Centre of Excellence in Optical Microcombs for Breakthrough Science (COMBS), in partnership with Menlo Systems.
 
This project will explore nonlinear photonics chips in lithium niobate for efficiently broadening the light emitted from a microcomb into an octave spanning frequency comb. The outcomes of this project will improve the size, cost and robustness of Menlo’s optical frequency combs expanding their uptake in  astronomy, spectroscopy and precision measurement.

This is a fantastic opportunity to work with researchers including researchers across all career stages and contribute to cutting-edge technologies while engaging with real-world industry challenges.

This project is best suited to candidates with a strong academic background in engineering or physics. If you have an interest and expertise in nonlinear optical phenomena, we encourage you to apply.

At COMBS we are committed to improving the opportunities for women in STEM and therefore we strongly encourage submissions from women and are very open to exploring flexible/innovative working arrangements - please don't hesitate to reach out to us if you have any questions!

Read more about the project here: https://www.combs.org.au/phd-project-efficient-lithium-niobate-on-insulator-lnoi-supercontinuum-down-to-visible/

We are seeking motivated and results-oriented PhD students in the ECE Department at Tennessee Tech University for several Ph.D. positions starting in Fall 2026. We are looking for students with interests in various areas of Computer Engineering. Some of our immediate research needs are in the following areas:
1. Hardware Security and Cyber-Physical Systems Security: Applicants are expected to have a strong understanding of ASIC and FPGA design flows, along with knowledge of related supply chain attacks. Familiarity with lightweight cryptography is highly desirable.

2. Security of Edge Intelligence: Applicants should have architectural knowledge of Convolutional Neural Networks (CNNs), attention-centric models, or Transformer-based models. Understanding the deployment challenges of such models on edge computing devices (with or without neural accelerators) is desirable. Knowledge of traditional security challenges in AI systems and Zero Trust Architecture will also be beneficial.

Interested applicants are encouraged to email me at shasan@tntech.edu with the following materials:

a. Curriculum Vitae (CV)
b. BS/MS transcripts
c. One-page Statement of Purpose
d. GRE score (or mention when you plan to take the GRE)

We will review applications on a rolling basis until all positions are filled. We look forward to hearing from qualified and enthusiastic candidates

I am delighted to share that I will be joining North Dakota State University as a Research Assistant Professor this July! I am greatly looking forward to starting my next chapter within this amazing community.
My lab is currently looking for one Master’s and one Ph.D. student interested in meat processing, lipid oxidation, or bioactive compound encapsulation. Check out the flyer below for more details. Please feel free to reach out if you are interested or would like to learn more!

The research lab led by Dr. Pei Li at the University of Wyoming invites applications for multiple fully funded Graduate Research Assistant positions starting in Fall 2026 and Spring 2027. The lab’s mission is to advance safe, intelligent, and connected transportation systems by integrating interdisciplinary expertise in Artificial Intelligence (AI), digital twins, Vehicle-to-Everything (V2X), and human factors. Our research focuses on modeling, understanding, and improving the safety of cyber-physical transportation systems. Ongoing projects include digital twins for highway management, Large Language Model (LLM)-based safety prediction, and data-driven approaches for proactive traffic safety management.
About the University The University of Wyoming (UW) is a Carnegie R1 research institution and a leading public land-grant university. Located in Laramie, a scenic town in the Rocky Mountain West, UW offers exceptional outdoor recreation and proximity to metropolitan areas such as Denver, Boulder, and Fort Collins. The campus features state-of-the-art facilities, including a two-cab driving simulator, the Advanced Research Computing Center, and newly funded infrastructure for AI and intelligent transportation systems. The Department of Civil and Architectural Engineering and Construction Management includes 24 faculty members and serves approximately 440 students. For additional information, please see: http://www.uwyo.edu/civil/.

Our research focuses on multiple emerging topics in "data" and "model" science that align with national priorities and address interdisciplinary and real-world problems.

𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
---------------------------------
🟢 Strong programming and analytical skills.
🟢 We will consider previous publication experience in ML/AI as an asset.
🟢 PhD applicants with an MS degree or substantial graduate-level course credits are encouraged to apply.  
🟢 Applicants currently within the US would be given priority.
🟢 Strong and persistent motivation is essential. 
🟢 Applicants should be inquisitive, expressive, and excited about their work and results.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬
------------------------
✅ Our research has been funded by NSF, NIH, DoD, DoE, and USDA.
✅ We provide active mentoring to support timely graduation, high-quality publications, and career counseling.
✅ Two former graduate student papers from our lab have been cited more than 100 times each. We do not publish in MDPI or IEEE Access.
✅ Below are some sample manuscripts first-authored by former graduate students. There is no need to identify a paper to show your interests. We would like to hear about your experience and interests.

📌 https://arxiv.org/abs/2511.06161
📌 https://lnkd.in/gpb_4cZi
📌 https://lnkd.in/ehmYU3SH
📌 https://lnkd.in/e5y7VbUe
📌https://arxiv.org/abs/2506.03068

📫 Interested applicants, please email me at manar[dot]samad[at]outlook.com with your recent CV, sample publications (if any), a link to your GitHub Repo (important), transcripts, and test scores (if required).
Tennessee State University

PostDoc opportunity closing soon I am recruiting a Postdoctoral Research Associate in Computer Vision and Artificial Intelligence at Durham University Computer Science, UK.

Deadline: 17th May 2026
Salary: £38,784 per annum, with support for conference travels and hardware
Application link: https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=26000479&lang=en&src=JB10200
Please share with anyone who may be interested.

📢 𝐈 𝐚𝐦 𝐚𝐜𝐭𝐢𝐯𝐞𝐥𝐲 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐢𝐧𝐠 𝐏𝐡.𝐃. 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 (𝐅𝐚𝐥𝐥 2026 / 𝐒𝐩𝐫𝐢𝐧𝐠 2027)

I'm excited to share that I will be joining Texas Christian University (TCU) as an Assistant Professor in the Department of Computer Science in Fall 2026!

I am seeking highly motivated Ph.D. students to join my research group at TCU.

My research lies at the intersection of artificial intelligence, cybersecurity, and next-generation wireless communication, where I develop efficient, secure, and resilient communication frameworks for cyber-physical systems.

Interested students are requested to email me at afia.anjum70@gmail.com with the subject line: "Prospective PhD Student — [Preferred Semester][Preferred Year] — [Your Last Name]"

Please include your:
✅ CV/Resume
✅ Brief research statement (1–2 paragraphs describing your interests and how they align with my work)
✅ Unofficial transcripts
✅ Representative publications, if any.

🔗 About TCU: https://www.tcu.edu/
🔗 About TCU Doctoral Program in Computer Science: https://cse.tcu.edu/computer-science/graduate-programs/phd-in-cs.php

Before reaching out, I strongly encourage prospective students to review my research areas and the desired qualifications on the Prospective Students page to ensure a strong fit: https://afianjum.github.io/openings.html

🔶 Fully-funded PhD positions available in my research group starting Fall 2026 or Spring 2027 at Arizona State University, School of Sustainable Engineering and the Built Environment. The prospective student will work on advancing construction automation and smart construction safety using cutting-edge technologies, with a focus on virtual environments (e.g., VR), AI, sensing technologies, robotics, and human behavioral analysis. Here are the required qualifications:

🔹Master’s degree in Civil Engineering, Construction Engineering and/or Management, Industrial Engineering, or other related fields.
🔹Strong analytical and problem-solving skills.
🔹Self-motivated, responsible, and enthusiastic personality.
🔹Strong written and verbal communication skills.
🔹Proficiency in coding (e.g., Python, C#, C++, MATLAB).

If you are interested, please email your CV (which includes your background and English test scores) and one-page research statement to me at shiva.pooladvand@asu.edu.

https://search.asu.edu/profile/5180956

Overview of Positions The Irrigation Research Laboratory at Oklahoma State University is seeking three highly motivated PhD students to begin in Spring 2027. The selected students will contribute to externally aligned research programs that integrate field experimentation, crop water use modeling, evapotranspiration forecasting, remote sensing, soil water balance modeling, sensor data analytics, and decision-support tools for irrigation scheduling and water conservation.
Keep in mind:
1) Do not reach out if you do not have BS and MS degrees.
2) Preference will be given to students who are in the USA.

I am currently recruiting a Postdoctoral Researcher to join me in Fall 2026 at The University of Alabama in the College of Communication and Information Sciences as part of the Human-Centered Intelligent Systems Initiative and the LANCSET Lab.

The position will support interdisciplinary research at the intersection of AI ethics, technology policy, research security, and sociotechnical governance of emerging technologies.

We are especially interested in candidates with backgrounds in technology policy, AI ethics/governance, national security, STS, public policy, or related interdisciplinary fields.

The initial appointment will be for one year, with the possibility of renewal for a second year based on performance and funding continuity.
Email: qinzhu@vt.edu

visit Dr. Zhu https://enge.vt.edu/People/researchfaculty/qinzhu.html

I have two fully-funded PhD positions available for Fall 2026 — both hitting a bit late in the normal recruiting cycle, so I'm putting the word out directly.

Position 1 — Innovative construction materials
Can we make buildings part of the climate solution rather than the problem? This project tackles that question with out group leading modeling of innovative building materials, as part of a great interdisciplinary team including architects, lawyers, and planners.

Position 2 — Energy systems modeling
How do we electrify the biggest, hardest industrial energy loads? This position will work on that in collaboration with Oak Ridge National Lab. Strong computational and modeling skills are a plus.

Both positions are based at the University of Virginia in the Department of Civil & Environmental Engineering. If either of these sounds like the right fit, reach out and I'm happy to schedule a conversation andres@virginia.edu.

visit - https://engineering.virginia.edu/faculty/andres-f-clarens

The Polymer Digital Engineering Lab in UW-Madison Mechanical Engineering at the University of Wisconsin–Madison is seeking a postdoctoral researcher in multiscale modeling of polymers and polymer composites.

The project spans all-atom, coarse-grained, mesoscale, and potentially continuum modeling, with emphasis on linking molecular-level physics to bulk material performance.

We welcome candidates with backgrounds in molecular simulation, polymer physics, composite modeling, computational materials science, or mechanics.
Please send your CV, cover letter, and 3 references to yli2562[A.T.]wisc.edu with the subject line: Postdoctoral Application – Multiscale Polymer Modeling

Applications will be reviewed on a rolling basis.

I am recruiting for a post-doctoral research position at The University of Texas at Austin focused on robotics for industrialized construction and field deployment applications. Extension beyond the initial term may be possible based on funding availability and performance.

The position will focus on the development and deployment of robotic systems for:
-Industrialized and offsite construction workflows
-Remote inspection and sensing
-Material handling and robotic assistance for deconstruction
-Systems integration between robotics, sensing, and digital workflows

The successful candidate will contribute to both experimental robotics research and practical deployment-oriented systems development, working across hardware, software, and field-oriented applications.

🔎 Desired expertise includes:
-Robotic systems integration and experimental setup
-Cobots / robotic arms and UGV platforms
-ROS / ROS2, Isaac Sim, RoboDK
-Vision systems and sensor integration
-Programming experience (Python, C++, ML/CV frameworks)
-AI-enabled robotics and autonomy workflows

We are looking for someone who:
-Has a strong publication record in peer-reviewed venues
-Can independently lead and execute research projects
-Is comfortable supervising and mentoring graduate students
-Is a strong communicator capable of engaging with industry collaborators
-Enjoys building and testing real systems, not just simulations

📍 Location: Austin, Texas
🏛️ Department: Civil, Architectural and Environmental Engineering (CAEE)
🎓 Program Area: Construction Engineering & Project Management (CEPM)

Interested applicants should send:
-CV
-Cover letter
-Sample publications
-GitHub / portfolio (if available)

to: c.rausch (at) utexas.edu

Candidates from civil engineering, mechanical engineering, robotics, computer science, mechatronics, and related disciplines are encouraged to apply. Position is initially for one-year, with an opportunity for extension based on performance and funding.

We currently still have an open position for an exciting (fully-funded) 3-year PhD Fellowship at OCBE – Oslo Centre for Biostatistics and Epidemiology, on "Reliable Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions"!

Application deadline is approaching fast, on May 17.

More info and application link here:
https://lnkd.in/ewjMtNKw

Multiple openings for PhD and MS students (with full/partial assistantship) in our geotechnical engineering research group at Texas State University.

The research focuses on soil dynamics and soil-structure interaction under impact loading using both experimental and computational approaches. Students with backgrounds in geotechnical engineering, soil dynamics, computational mechanics, finite element modeling, or related areas are encouraged to apply.

Please send your CV to me at mpajouh@txstate.edu.

Feel free to share this opportunity with anyone who may be interested.

Looking for students who want to make a difference in the field of fatty liver disease. Please feel free to share or to tag potential students.
MASLD is the leading chronic liver disease worldwide. To understand its metabolic mechanisms, we study lipid dynamics, drug toxicity, and hepatocyte regeneration.

I am recruiting two (2) domestic students (US citizens or Permanent Resident) for M.S. Graduate Research Assistant (GRA) positions starting Fall 2026.

Project Overview
This USDA-funded project, “Exploring Disparities in SNAP Program Participation and Nutritional Outcomes in the Southeastern United States and Texas,” examines how changes in SNAP retailer access affect food access and nutrition outcomes. The research integrates large-scale administrative data, primary survey data collection, spatial analysis, and advanced econometric and machine learning methods to generate policy-relevant insights.

The Role
The selected students will:
Clean and manage large-scale datasets (SNAP, ACS, GIS-linked data)
Assist in designing and implementing primary surveys related to food access and nutrition
Conduct econometric and machine learning analysis
Contribute to research publications and conference presentations
Support policy-relevant research on food access and nutrition

Minimum Requirements
Domestic applicant (per funding requirements)
GRE score of 290 or above
Bachelor’s degree in economics, agricultural economics, agribusiness, or related field
Strong interest in quantitative research

Preferred Qualifications
Experience with R, Stata, or Python
Exposure to GIS or spatial analysis
Interest in applied policy research

Funding & Benefits
Funded M.S. degree in Agricultural Business and Leadership with stipend support
Hands-on experience with both survey and large-scale secondary datasets
Opportunities for publications and conference presentations
Mentorship in applied econometrics and policy analysis

Graduate School Application Deadline: July 1, 2026

GRA candidate review will begin immediately and continue on a rolling basis until positions are filled.

Application Requirements
Email a single PDF to jmuriuki@tnstate.edu including:
CV/Resume
Statement of interest
Unofficial transcripts
GRE scores (or willingness to take the GRE before the application deadline)
Contact information for three references

Contact: jmuriuki@tnstate.edu
+1-615-963-5776

I am pleased to announce that I will be joining the University of Arkansas as a 𝗧𝗲𝗻𝘂𝗿𝗲-𝗧𝗿𝗮𝗰𝗸 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 in the Department of Electrical Engineering and Computer Science (EECS), starting Fall 2026.

The University of Arkansas is the state’s flagship R1 land-grant institution, with a strong commitment to impactful research and education. I will be establishing a research group focused on 𝙨𝙚𝙘𝙪𝙧𝙚, 𝙧𝙚𝙨𝙞𝙡𝙞𝙚𝙣𝙩, 𝙖𝙣𝙙 𝙩𝙧𝙪𝙨𝙩𝙬𝙤𝙧𝙩𝙝𝙮 𝙖𝙪𝙩𝙤𝙣𝙤𝙢𝙤𝙪𝙨 𝙖𝙣𝙙 𝙚𝙢𝙗𝙤𝙙𝙞𝙚𝙙 𝘼𝙄 𝙨𝙮𝙨𝙩𝙚𝙢𝙨 at the intersection of artificial intelligence, cyber-physical systems, and cybersecurity.

𝗣𝗵.𝗗. 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 (𝗙𝗮𝗹𝗹 𝟮𝟬𝟮𝟲 / 𝗦𝗽𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟳): I am actively recruiting highly motivated and fully funded Ph.D. students to join my lab. I would be grateful for any support in connecting with strong candidates who may be a good fit, and I also welcome opportunities for collaboration with researchers working in related areas as I begin building my research group.

Additional details are available at: https://shahriar0651.github.io/

Looking to pursue a fully funded PhD in Plant Biology / Mechanobiology? This is a great opportunity at the University of Lausanne (UNIL) under an SNSF Starting Grant.

🔬 Project Focus:
Understanding how endoreduplication influences plant growth across cells and tissues using genetics, imaging, and biophysical approaches.

🧪 What you’ll gain:
✔️ Hands-on experience in confocal microscopy & imaging
✔️ Work with transgenic lines & genetic screens
✔️ Exposure to cutting-edge biomechanics & quantitative biology tools

👤 Who should apply:
Applicants with a Master’s in Molecular Biology, Biophysics, Bioinformatics, or related fields with interest in:
• Genetics
• Quantitative biology
• Mechanobiology

📅 Deadline: May 31, 2026
📍 Location: University of Lausanne, Switzerland
🚀 Start: Summer 2026 (flexible)

👋 Two Exciting Department of Agriculture, Food and the Marine funded PhD opportunities in the area of Farm Safety, Health and Welfare
“Building capacity for farm safety communication while understanding behavioural and cultural drivers for farmyard safety practices at farm level” Supervisors: Dr Sinéad Flannery (University College Dublin) and Dr David Meredith (Teagasc) Duration: 4 years Funding Information: Department of Agriculture, Food and the Marine Value of Scholarship per Annum: Stipend of €25,000p.a. plus €6000p.a. towards fees Closing Date: Wednesday, 27th May 2026 Commencement Date: September Location: School of Agriculture & Food Science, University College Dublin Project Description Safer by Design is a four-year, DAFM-funded multidisciplinary project (2025-2029) led by Teagasc in partnership with University College Dublin and Animal Health Ireland. The project moves beyond the production of safety guidelines toward farmer-centred, solution-oriented communication that supports collaborative behaviour change at farm level with a specific focus on the farm yard. This is particularly important given that 69% of all workplace injuries in Irish agriculture occur in farmyards and associated buildings. The project adapts Animal Health Ireland’s Conversations for Change (C4C) framework, an evidence-based, Motivational Interviewing-informed approach, for use by farm advisors leading group discussions on farmyard safety and infrastructure. Understanding the behavioural, professional and cultural determinants for shaping both advisor communication and farmer decision making is essential to this adaptation. We are seeking two motivated PhD candidates to join the wider research team, each taking responsibility for one side of the advisor-farmer interaction.

Closing date for both is 27th May, 5pm.
Full details and requirement and how to apply is included below.
🔑 Fluent English language skills and a full EU driving license are essential.

I have multiple MSc/PhD positions in my lab at University of Guelph with starting dates in September 2026 and January 2027.

The projects will focus on two primary directions:
1) developing cognitively-inspired computer vision systems for traffic scene analysis and modeling behaviors of drivers and pedestrians;
2) driving simulator research (including human data collection and improving simulator fidelity).

This is a great opportunity to contribute to multidisciplinary research at the intersection of computer vision, robotics, and AI with rich potential for real-world applications! To learn more about my research visit https://lnkd.in/eAfgUTkk

Successful candidates should have:
- BSc/MSc degree in Computer Science or a related field;
- strong Python programming skills.
- desire to learn, passion for research, and interest in exploring new problems.

Background (e.g. courses, work/research experience, personal projects) in any of the areas listed below will be an asset:
- computer vision;
- cognitive science;
- data analysis (e.g. with pandas or R);
- graphics/Unity;
- hardware/drivers.

If you are interested, please fill this Google form https://lnkd.in/e-bABmsj

The Fall 26 deadline for domestic students is June 1

I am excited to share that I will be joining the University of Kansas as a tenure-track Assistant Professor in the Department of Civil, Environmental & Architectural Engineering starting Fall 2026.

I am actively recruiting Ph.D. students to join my research group in Fall 2026 or Spring 2027. We are seeking candidates with experience or a strong interest in robotics, AI/ML, immersive technologies, and human–robot interaction, along with programming skills.

If you are interested, please fill out the form [https://lnkd.in/g29nwDgi].

The University of Manitoba 🇨🇦 is recruiting PhD students in Smart & Digital Agriculture (Dr. Jiating Li’s lab).

🔬 Focus areas:
• AI & machine learning for crop prediction
• Drones, IoT & sensing systems
• Precision agriculture decision tools

💰 Full stipend support
📅 Deadline: May 20, 2026
📍 Start: Jan 2027

Great opportunity for students in Ag Engineering, Bioengineering, CS, Robotics & related fields!

📩 Apply: jiating.li@umanitoba.ca

#PhDOpportunity #Agriculture #AI #PrecisionAg #GradSchool #STEM #InternationalStudents

We have a opening in my research group for a MS/PhD student. MS student must hold a bachelor’s in Mechanical Engineering. PhD applicants must have a MS degree in Mechanical Enginerring particularly interested in Materials science and computational fluid dynamics. Please send your CV to sghosh1@ualr.edu.

I am excited to share that I will be starting the next chapter of my journey as an Assistant Professor at the National University of Singapore, NUS Computing , under the Presidential Young Professor scheme in the coming August.

I am also excited to launch my research group, MAGIC: Manipulation and General Intelligence Control. Our group will focus on building intelligent robotic systems that can reason, learn, and act in the open world, with research directions spanning multimodal reasoning, robot learning, dexterous manipulation, vision-language-action models, and more.

I am actively looking for motivated PhD students, research assistants, and postdocs to join the group. If you are excited about building the next generation of robotics foundation models and generalist robot intelligence, please reach out!
Please send your CV and a brief email to: duanj@cs.washington.edu

Looking forward to this new chapter and to working with many amazing students and collaborators ahead!

The Precision Irrigation Management (PRIMA) Laboratory of the University of Nevada, Reno is seeking a M.Sc. level Graduate Research Assistant (GRA). If you are interested in conducting research in precision irrigation water management, please see the position announcement below.

I will be joining the Department of Civil and Environmental Engineering at the University of Nebraska–Lincoln as a tenure-track Assistant Professor beginning in Fall 2026. My group is recruiting two fully funded PhD students to begin in Fall 2026, Spring 2027 or Fall 2027.

Interested applicants are welcome to email me at jiachaol@alumni.cmu.edu with the subject line “Ph.D. Applicant – Your Name – Start Semester.” Please include your CV or resume, transcripts, and a brief research statement.

Position Description Dr. Chenzhi Ma at the University of Nebraska-Lincoln (UNL) is seeking 1-2 fully funded PhD students to join his research group starting in Fall 2026 or Spring 2027. The PhD research topics will focus on structural engineering, fire and multi-hazard infrastructure resilience, performance of advanced structural materials under extreme conditions, wildland-urban interface (WUI) fire risk, and AI-enhanced community-scale risk analysis. About UNL The University of Nebraska-Lincoln is Nebraska’s land-grant research university, is a member of the Big Ten, and is classified as an R1 doctoral university with very high research activity. The Department of Civil and Environmental Engineering at UNL has strong research foundations and interdisciplinary collaboration opportunities in structural engineering, infrastructure resilience, transportation engineering, materials, sustainability, and disaster risk mitigation.