A research team at the University of Nebraska-Lincoln is recruiting one or two highly motivated graduate students to start as early as Spring 2027, with Fall 2027 starts also available.

Institution: University of Nebraska-Lincoln
Field: Not stated in the post (see the team's research page for details)
Level: PhD applicants preferred; MS applicants will also be considered
Funding: Not stated in the post
Eligibility: Highly motivated graduate students. PhD applicants are preferred, and MS applicants are considered.
Deadline: Not stated in the post
How to apply: Review the team's research at https://toshare.unl.edu/ and send your CV to lizhao@unl.edu.

The University of Queensland (UQ) is offering a funded PhD research project through the Queensland Alliance for Agriculture and Food Innovation (QAAFI). The project studies how sorghum production, storage and processing affect nutritional quality, nutrient retention, shelf-life and food product development.

Institution: University of Queensland (UQ), through QAAFI
Field: Food science, agricultural sustainability, cereal chemistry, food processing and nutrition
Level: PhD
Funding: AUD 37,000 per year tax-free living stipend, plus an AUD 12,500 per year top-up scholarship. Tuition fees are covered.
Eligibility: Open to international applicants. No other eligibility criteria are stated in the post.
Deadline: Oct 28, 2026 (Expression of Interest deadline)
How to apply: Project details and application information: https://lnkd.in/g5wwEzpw

Two PhD positions are open in the REACT (Resilient Energy and Advanced Converter Technologies) Power Electronics Laboratory at Kansas State University, with a preferred start in Summer or Fall 2027.

Institution: Kansas State University, REACT Power Electronics Laboratory
Field: Power electronics, converter modeling and control, cyber-resilient power systems
Level: PhD
Funding: Not stated in the post
Eligibility: Required: a master's degree in Electrical Engineering or a related field; a strong background in power electronics, converter modeling and control; and knowledge of embedded digital control using DSPs, microcontrollers, or FPGAs. Preferred: hands-on experience in power converter design, implementation and testing; experience or interest in machine learning, Edge AI or advanced optimization; familiarity with quantum computing (a plus).

Research directions:
1. Physics-based modeling and Edge AI for cyber-resilient power electronics, including converter-level digital twins, physics-informed monitoring, and embedded AI for anomaly detection, diagnostics and resilience in interconnected converters and microgrids.
2. Advanced control and optimization of power-electronic systems, including real-time predictive control, centralized and distributed coordination, and quantum-assisted optimization methods.

Both directions combine analytical modeling, simulation, embedded control implementation and experimental validation on power-electronic hardware.

Deadline: not stated in the post
How to apply: Email your CV and a brief description of your research and experimental experience to roiggreid@ksu.edu. Only candidates whose qualifications align with the research will be contacted. Research group page: https://lnkd.in/gZfrhJBA

Georgia Southern University is hiring multiple Graduate Research Assistants (GRAs) and a Postdoctoral Researcher for an interdisciplinary project led by Ram Krishna Mazumder, Ph.D., P.E., in collaboration with Candice Bodkin. The project is developing hurricane-resilient asset management plans for small drinking water utilities.

Institution: Georgia Southern University
Field: Civil Engineering and Construction (interdisciplinary project on hurricane resilience and drinking water infrastructure)
Level: Graduate Research Assistant positions and a Postdoctoral Researcher position
Funding: Not stated in the post
Eligibility: Not stated in the post
Deadline: Not stated in the post
How to apply: Further details and applications are available at https://rkmazumder.com/ and https://www.rowlesresearch.com/

The Earth Systems Ecology Lab at the University of New Mexico is recruiting a PhD student for a tree regeneration project combining field experiments with forest ecosystem modeling. The project studies whether planting tree seedlings upslope can help species adapt to climate change in the Intermountain West, and how assisted migration affects forest productivity. It is a collaboration with Daniel Laughlin at the University of Wyoming.

Institution: University of New Mexico (Earth Systems Ecology Lab, Hurteau lab; more information at www.hurteaulab.org)
Field: Forest ecology, tree regeneration, ecosystem modeling (LANDIS-II)
Level: PhD
Funding: Student support includes some combination of teaching and research assistantships, with summer salary support and research project support.
Eligibility: Only US citizens and permanent residents are being considered. International applicants will not receive a response. The lab is looking for a strong quantitative background and interest in forest ecosystems and in combining experimental field data with ecosystem modeling.
Deadline: Applications are reviewed starting Nov 9, 2026. The UNM Biology priority deadline is Dec 1, 2026. Interviews will be completed before that date.
How to apply: Read the student positions page on the lab website (www.hurteaulab.org). If still interested, email a single PDF containing your CV, a one-page statement of research interests, and unofficial transcripts to mhurteau@unm.edu. GRE scores are not required.

Field work includes planting and monitoring seedlings in common gardens in New Mexico and Wyoming. Summer field seasons are spent at sites in northern New Mexico, and fieldwork involves camping.

Twelve fully funded doctoral candidate positions are open within SurPhase, a Horizon Europe Marie Skłodowska-Curie Actions (MSCA) Doctoral Network coordinated by the University of Birmingham. The projects focus on advanced surface engineering, flow boiling and condensation, additive manufacturing, Molecular Dynamics, CFD, AI-assisted optimisation, and surface durability and predictive maintenance, with particular emphasis on low-global-warming-potential (low-GWP) refrigerants.

Institutions: University of Birmingham (United Kingdom), Sabancı University (Türkiye), Norwegian University of Science and Technology – NTNU (Norway), and University of Padova (Italy).

Field: Surface engineering, heat transfer, thermal engineering, refrigerants, computational modelling
Level: PhD (doctoral candidates)
Funding: Fully funded 36-month doctoral programme, with international research training and academic and industrial secondments involving partners including Ericsson, Arçelik, Fraunhofer IFAM, ANSYS and Hexxcell.
Eligibility: Not stated in the post. See the full details at the link below.
Deadline: Not stated in the post. Each position follows its host institution's own procedure and deadline.
How to apply: Full details, eligibility criteria and application information: https://euraxess.ec.europa.eu/jobs/465735
Each position is recruited through its respective host institution, so follow that institution's application procedure.

A PhD position is open for a motivated candidate to contribute to interdisciplinary research within one of three research foci. The role suits applicants with interest in landscape ecology, long-term land-use change and/or human-environment interactions, along with comfort using large datasets and quantitative methods.
Institution: Not stated in the post (see the full job posting linked below for details)
Field: Landscape ecology, long-term land-use change, human-environment interactions; collaboration spans remote sensing, ecology, geography, environmental history and human-wildlife interactions
Level: PhD
Funding: Not specified in the post. Benefits mentioned include a meal allowance, flexible working hours, family-friendly working conditions, and training and development opportunities.
Eligibility: Strong research interest in landscape ecology, long-term land-use change and/or human-environment interactions; technical aptitude and willingness to work with large data and quantitative approaches.
Deadline: Nov 11, 2026
How to apply: Apply through the dedicated online portal, quoting reference code BIO-15884. Full job posting and research foci: check the links in the original post (https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15884 and https://www.uibk.ac.at/de/ecology/team/munteanu-catalina-mihaela/).

The Translational Auditory Neuroscience (TAN) Lab at the University of South Carolina is recruiting a PhD student to start in Fall 2027. The lab studies ways to improve cochlear implant outcomes and how hearing loss relates to cognition and brain health, using behavioral experiments, neuroimaging (MRI and fNIRS), signal processing, and computational methods.

Institution: University of South Carolina (TAN Lab)
Field: Auditory neuroscience and hearing science
Level: PhD
Funding: Not stated in the post. Funding consideration is available for applications received by the deadline.
Eligibility: Open to students from audiology, speech and hearing sciences, neuroscience, biomedical engineering, and related fields.
Deadline: Dec 15, 2026
How to apply: Contact the lab PI at meisam@mailbox.sc.edu to discuss opportunities. Lab information: https://sc.edu/study/colleges_schools/public_health/research/research_centers/tanl/ . PhD program and application requirements: https://sc.edu/study/colleges_schools/graduate_school/apply/degree_programs-application-requirements/communication-sciences-and-disorders-phd/

A professor at McMaster University is recruiting exceptional PhD candidates for fully funded positions in artificial intelligence, mechatronics, and energy. The group is open to students from anywhere in the world.

Institution: McMaster University, Hamilton, Ontario, Canada. Research is based at the McMaster Automotive Resource Centre (MARC), a hub of more than 250 researchers, industry experts and postdoctoral fellows focused on electrified vehicles and smart mobility.

Field: Artificial Intelligence, Mechatronics Engineering, Energy Storage Systems, Electric and Hybrid Powertrains, Autonomous Systems.

Level: PhD.

Funding: Described as fully funded.

Eligibility: A Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science or a closely related field.

Deadline: Not stated.

How to apply: Complete the expression of interest form via the link referenced in the original post's first comment. The link itself was not included in the text provided, so check the original post or contact the professor directly.

A PhD project in the Department of Biochemistry at the University of Oxford investigates how natural human genetic variation shapes the epigenetic silencing of transposable elements, and how some of these elements escape repression to influence gene regulation.

Institution: University of Oxford, Department of Biochemistry
Field: Epigenetics, transposable element biology, functional genomics and human genetic variation
Level: PhD
Funding: Functional Genomics Doctoral Landscape Award (FGx-DLA). Amount and coverage not stated in the post.
Eligibility: Not stated in the post.
Deadline: Not stated in the post.
How to apply: Apply via the link provided in the original post:
https://www.exeter.ac.uk/v8media/recruitmentsites/documents/studentshipprojects/73_-_How_does_human_genetic_variation_shape_transposable_element_silencing-.pdf
The project combines single-cell and long-read sequencing (CELLO-seq and Fiber-seq), human genetics and computational modelling, and stem-cell biology with genome engineering. There is room for the student to develop their own research questions.

The Surface Processes & Geomorphology group at the University of Kentucky, led by Dr. Joel Leonard, is recruiting prospective MS and PhD students to start in Fall 2027. Students would lead research on how mountain landscapes evolve through the interplay of tectonics, climate, erosion and weathering, and how these processes shape the carbon cycle and natural hazards.

Institution: University of Kentucky, Department of Earth and Environmental Sciences, Lexington, Kentucky
Field: Geomorphology and Landscape Evolution
Level: MS or PhD
Funding: Funding is stated as available to support graduate students and research across three project themes: (1) quantifying mountain landscape evolution, with potential projects in the Andes, Himalaya and the U.S.; (2) mountain evolution and the carbon cycle; and (3) hazards in a changing climate, including high-resolution topographic data workflows.
Skills: Students will train in quantitative geomorphology, field geology, geochronology, numerical modeling and geospatial analysis.
Eligibility: Not specified in the post.
Deadline: Not stated in the post.
How to apply: No application link or contact email was given in the post. Check the University of Kentucky Earth and Environmental Sciences graduate program pages or contact Dr. Joel Leonard directly through the university.

The Chakraborty Laboratory at Texas A&M University–Corpus Christi is recruiting motivated prospective PhD and MS students. Research focuses on how environmental exposures shape lifelong liver health through epigenetic changes, mitochondrial dysfunction and altered metabolism.

Institution: Texas A&M University–Corpus Christi
Field: Molecular biology, metabolic disease, toxicology, epigenetics (projects integrate transgenic fish models, cell culture, organoids and multi-omics approaches)
Level: PhD and MS
Funding: Not stated in the post. The lab mentions discussing potential funding opportunities with interested candidates.
Eligibility: Not specified. Interested candidates should send a CV and a brief description of their research interests.
Deadline: Not stated
How to apply: Send your CV and a brief statement of research interests to sourav.chakraborty@tamucc.edu. More information: https://sites.google.com/view/chakrabortylaboratory/home

The Department of Computer Science at the University of Exeter is recruiting a PhD researcher for an EPSRC Doctoral Landscape Award-funded project on uncertainty-aware synchronisation for sustainable data centre digital twins. The studentship is due to start in September 2027.

Institution: University of Exeter, Department of Computer Science
Field: Computer science; digital twins, data centres and sustainability
Level: PhD
Funding: Fully funded PhD studentship (EPSRC Doctoral Landscape Award)
Eligibility: Not stated in the post. Candidates should be highly motivated; check the project page for full requirements.
Deadline: Dec 8, 2026 (midday)
How to apply: Project details are available via the link in the original post (https://www.exeter.ac.uk/v8media/recruitmentsites/documents/studentshipprojects/Uncertainty-Aware_Synchronisation_for_Sustainable_Data_Centre_Digital_Twins_SAMIN_COMP_2027_edited.pdf). Supervisors: Dr Huma Samin, Dr John Panneerselvam and Prof Khurram Bhatti.

Oklahoma State University is recruiting a motivated doctoral student to work on agricultural health and safety through applied research, communications outreach, and Extension activities. The role sits within an interdisciplinary faculty team and is offered as a Graduate Research Assistant (GRA) position.

Institution: Oklahoma State University
Field: Agricultural Economics (PhD program), with work focused on agricultural health and safety
Level: PhD
Funding: Graduate Research Assistantship (GRA); amount not stated in the post
Eligibility: Adaptable and motivated doctoral student; specific requirements not stated in the post
Deadline: Not stated in the post
How to apply: https://lnkd.in/gsbPZx8c

Responsibilities include developing educational resources, coordinating Extension and outreach programs, and supporting scholarship that serves agricultural producers, workers, families, and rural communities on a range of agricultural health and safety topics.

The Molnar Lab at the University of Edinburgh is offering a PhD project, run in collaboration with Prof Margaret Graham, on how green algae adapt to multiple environmental stressors in Scottish mine-impacted waters.

The project combines environmental geochemistry, algal physiology, comparative genomics and CRISPR genome editing. It suits candidates interested in environmental biotechnology, algal biology or genome engineering.

Institution: University of Edinburgh (Molnar Lab, in collaboration with Prof Margaret Graham)
Field: Environmental biotechnology, algal biology, genome engineering
Level: PhD
Funding: Not stated in the post (check the full listing)
Eligibility: Open to UK and international candidates. A masters degree is not required.
Deadline: Dec 2, 2026
How to apply: https://lnkd.in/e7yTARWs

Dr. Xueying Yu's research group at the State University of New York at Albany is actively looking for PhD students and visiting students or scholars. The group works on quantifying carbon emissions from satellite data.

Institution: State University of New York at Albany (SUNY Albany)
Field: Atmospheric chemistry and environmental science. Example topics include satellite remote sensing in atmospheric chemistry, modeling the fate of greenhouse gases and air pollutants, and data assimilation.
Level: PhD students and visiting students/scholars
Funding: Not stated in the post.
Eligibility: PhD applicants must apply through the PhD program in the Department of Atmospheric and Environmental Sciences at SUNY Albany and mention their interest in working with Dr. Yu's group in their application. Visiting applicants should contact Dr. Yu directly.
Deadline: Not stated in the post.
How to apply: PhD applicants should review the application instructions for the Department of Atmospheric and Environmental Sciences PhD program (https://www.albany.edu/daes/programs) and note their interest in Dr. Yu's group. All interested candidates should email Dr. Yu at xyu2@albany.edu with a single PDF containing: (1) CV; (2) a one-page personal statement covering research interests, research experience, future research ideas and career development plans; (3) names, affiliations and email addresses of three recommenders; (4) for PhD applicants, BS and MS (if available) transcripts; and (5) published papers, if available.

Group information: https://yu-xue-ying.github.io/

A fully funded PhD studentship at Heriot-Watt University (Edinburgh, UK) on reconstructing groundwater pollution release histories under geological uncertainty, using machine learning and adaptive monitoring. The project is offered through the Iapetus DTP NERC Doctoral Training Partnership Studentship Competition 2026–27 and is supervised by Dr Nanzhe Wang (Heriot-Watt University), Dr Marco Bianchi (British Geological Survey) and Dr Yihuai Zhang (University of Glasgow).

Institution: Heriot-Watt University, Edinburgh, UK (host), with supervision from the British Geological Survey and the University of Glasgow
Field: Environmental science, hydrogeology, groundwater contaminant transport, machine learning, Bayesian inversion and uncertainty quantification, reinforcement learning for monitoring design
Level: PhD (3.5 years)
Funding: Competitive, fully funded studentship covering tuition fees at the UK Home rate, a stipend, and research and training support. International fee arrangements are subject to host university policy.
Eligibility: Candidates with backgrounds in hydrogeology, geoscience, geoenergy, environmental science, computational modelling, machine learning, applied mathematics or related disciplines are welcome. International applicants must contact the supervisor by 7 December 2026, and each supervisory team can shortlist at most one international applicant. The Iapetus Widening Participation Scheme and the separate Iapetus Diversifying Talent Scholarship Scheme are available for eligible candidates from underrepresented groups.
Deadline: Jan 5, 2027 (12:00 noon GMT, for Home and sponsored international applicants). Applications open on 6 November 2026.
How to apply: Full project details and application information: https://lnkd.in/eewNntTB (international applicants should first email nanzhe.wang@hw.ac.uk by 7 December 2026).

The Medical Physics Residency Program in the Department of Radiation and Cellular Oncology at the University of Chicago Medicine is offering two Clinical Physics Resident positions starting July 1, 2027. This is a three-year, CAMPEP-accredited, non-match residency for candidates who want comprehensive clinical training for a career in academic medical physics, advanced radiation therapy, and clinically driven research.

Institution: University of Chicago Medicine (Department of Radiation and Cellular Oncology)
Field: Medical physics (clinical residency)
Level: Post-doctoral clinical residency
Funding: Not stated in the post
Eligibility: Applicants must hold either (1) a Ph.D. from a CAMPEP-accredited graduate program in Medical Physics, or (2) a Ph.D. in Physics or a related scientific discipline followed by completion of a CAMPEP-approved Medical Physics certificate program.
Deadline: Dec 31, 2026
How to apply: Email the following materials to Kamil M. Yenice, Ph.D., Director, Medical Physics Residency Program, at kyenice@uchicagomedicine.org: (1) curriculum vitae; (2) official transcripts from undergraduate and graduate programs, and from a CAMPEP certificate program when applicable; (3) three letters of recommendation; (4) a one-page personal statement covering interest in medical physics residency training, relevant experience and career goals. Incomplete applications missing any required document will not be considered. The admissions committee reviews applications in January 2027, with interviews to follow and offers expected in February 2027. More details on the program are in an attached document referenced in the original post.

The Centre for Wireless Communications at the University of Oulu is recruiting doctoral candidates for the newly funded SmartSpaces project. The project is supported by the Research Council of Finland and carried out in collaboration with Rice University (US). It aims to enable wireless systems to sense and interpret their surroundings, providing secure and efficient spatial awareness services.

Institution: University of Oulu, Centre for Wireless Communications (Finland), in collaboration with Rice University (US)
Field: Wireless communications, wireless sensing, RF, radar, signal processing, intelligent scheduling, AI. Applicants from electrical engineering, computer science or related fields are welcome.
Level: PhD (doctoral candidates)
Funding: Not stated in the post
Eligibility: Backgrounds in wireless communications, RF, radar, signal processing, electrical engineering, computer science, or related fields. Strong mathematical and programming skills are particularly relevant.
Deadline: Oct 31, 2026
How to apply: Details and application at https://oulunyliopisto.varbi.com/what:job/jobID:975797/

The University of Hong Kong (HKU) is calling for nominations for fully funded PhD places under the Hong Kong PhD Fellowship Scheme (HKPFS) and the HKU Presidential PhD Scholarship (HKU-PS). The post refers to a specific supervisor, so applicants should check the supervisor's profile when considering the position.

Institution: University of Hong Kong (HKU)
Field: Not stated in the post (see supervisor profile)
Level: PhD
Funding: Annual stipend of HK$344,400 (approximately US$44,150), a HK$100,000 cash award, and a conference allowance of HK$14,400 per year.
Eligibility: Applicants should demonstrate outstanding academic performance, research ability or potential, communication and interpersonal skills, and leadership abilities. Other eligibility criteria are not stated in the post.
Deadline: Oct 31, 2026 (this is the internal nomination deadline stated in the post)
How to apply: Details for the HKPFS are at https://lnkd.in/gnMjnvss and for the HKU-PS at https://lnkd.in/gaSh5Gpt. Information about the supervisor is at https://lnkd.in/gvmTijGc.

The Purdue Digital Twin Lab at Purdue University's College of Engineering is recruiting postdoctoral researchers and Ph.D. students. Research areas include autonomous driving, robotics, human-autonomy teaming, digital twins, and intelligent transportation systems, with a focus on physical AI.

Institution: Purdue University, College of Engineering (Purdue Digital Twin Lab)
Field: Machine learning, computer vision, robotics, transportation, autonomous driving, digital twins. Research directions include multimodal world foundation models for driving, world models and vision-language-action models for robotic navigation, human-centered AI for human-autonomy teaming, 3D scene generation and sim-to-real transfer, and learning-driven traffic modeling and cooperative automation.
Level: Postdoctoral researcher and Ph.D. student positions. Prospective Ph.D. students apply through the Lyles School of Civil and Construction Engineering or the Elmore Family School of Electrical and Computer Engineering, depending on their background and interests.
Funding: Not stated in the post.
Eligibility: Candidates with strong research experience or publications in machine learning, computer vision, robotics, or transportation are encouraged to apply. The lab will only respond to candidates whose qualifications match the positions.
Deadline: Not stated in the post.
How to apply: Submit your CV and research interests through the form linked here: https://lnkd.in/gfiDNEJN. Lab website: https://lnkd.in/gKYPW5SJ

Assistant Professor Xiaoye Michael W. is recruiting students for the Information, Perception & Action (IPA) Lab at the University of Waterloo. The lab studies how people perceive the three-dimensional world, how vision guides action, and how people interact in virtual and augmented reality.

Institution: University of Waterloo, School of Optometry & Vision Science / Waterloo Eye Institute
Field: Vision science, visual perception, human movement, computer graphics, computational modelling, VR/AR
Level: Undergraduate research assistantships (Waterloo Work Study Program); Master of Science (MSc) in Vision Science; PhD in Vision Science
Funding: Not stated in the post
Eligibility: No prior experience in all of these areas is required. The lab is open to students who are curious about these questions and willing to learn.
Deadline: Not stated in the post
How to apply: Email a brief introduction, your research interests, and the opportunity you are interested in to xy.wang@uwaterloo.ca. Lab information is available at https://ipalab.ca/

Prospective PhD students are invited to apply for Arizona State University's Presidential Graduate Assistantship through the InterPRIMES program. The focus is on insecticide resistance and resistance management, combining lab experiments with mathematical modeling of how resistance evolves.

Institution: Arizona State University (InterPRIMES program)
Field: Evolutionary biology, insecticide resistance, resistance management, vector biology, mathematical modeling. The assistantship brings together researchers in evolutionary biology, medicine, agriculture, ecology and mathematical modeling to address the broader challenge of managing evolving systems.
Level: PhD
Funding: Presidential Graduate Assistantship (amount not stated in the post)
Eligibility: Prospective PhD students interested in insecticide resistance, evolutionary biology and resistance management. No other eligibility criteria are stated in the post.
Deadline: Nov 15, 2026
How to apply: Learn more about the program and how to apply at https://sols.asu.edu/pga

A fully funded 3.5-year PhD position in the School of Computing and Information Systems at the University of Melbourne, focused on helping AI agents learn strategic knowledge from observed behaviour and transfer it to new tasks with different representations.

Institution: University of Melbourne, School of Computing and Information Systems
Field: Computer science; strategy extraction and generalisation for AI agents, machine learning, knowledge representation and reasoning, sequential decision-making
Level: PhD
Funding: Fully funded scholarship, 3.5 years. The scholarship is open to both domestic and international candidates.

Project: Building on prior work that used sequence alignment to extract strategies from agent behaviour and ontological reasoning to generalise them for learning policies in new tasks, the PhD will explore three directions: reducing the amount of hand-crafted modelling of source and target task domains; extracting richer strategies, such as conditional, hierarchical or temporally extended patterns; and finding strategically relevant similarities between contexts, including contexts with substantially different representations. The candidate will also study how transferred strategies can guide policy learning and when transfer improves learning efficiency and performance.

Eligibility: Strong background in computer science, mathematics or a related field, with interest in machine learning, knowledge representation and reasoning, or sequential decision-making.

Deadline: Nov 20, 2026 for expressions of interest, for an early 2027 start.

How to apply: Complete the expression of interest form at https://lnkd.in/gPDgc2Yg and provide a one-page CV and academic transcripts. The contact for this position is Senior Lecturer Michelle Blom.

Two funded PhD positions are open in the research group at the Cyprus University of Technology (CUT) working on the security of generative AI, large language models (LLMs) and autonomous AI agents. Research topics include prompt injection, jailbreaks, context poisoning, vulnerabilities in LLM-based applications and agentic systems, and security risks arising from interactions between agents, including both how these systems can be attacked and how to build defences.

Institution: Cyprus University of Technology (CUT)
Field: Computer Science, AI security, web/system security
Level: PhD
Funding: Both positions are funded for three years through research projects.
Eligibility: Applicants should hold a BSc and MSc in Computer Science, have strong programming skills, and a solid background in web/system security or AI security. Experience developing or experimenting with LLM-based applications and agentic systems is a plus.
Deadline: Nov 15, 2026
Start: January 2027
How to apply: Contact Panagiotis Ilia at panagiotis.ilia@cut.ac.cy. More about the research group: https://spt.cut.ac.cy/

Dr. Tran’s research group at the Civil, Environmental, and Geospatial Engineering Department at Michigan Tech invites applications from qualified individuals for a Ph.D. position in Civil Engineering, specializing in Non-destructive Testing (NDT) for Transportation Engineering and Civil Engineering Materials.

Successful candidates will have opportunities to participate in both numerical and experimental research focused on developing new sensing technologies for Civil applications. The projects include performing numerical modeling, developing sensing apparatus and techniques, and conducting experimental validation testing in the laboratory and field.

We welcome applications from diverse backgrounds to apply and contribute to our inclusive research community.

Funding: Fully Funded PhD Position (Tuition + Stipend via RA/TA)

Research Focus:
• Developing new sensing technologies for Civil applications
• Numerical modeling
• Sensing apparatus & technique development
• Experimental validation testing (Lab & Field)
• NDT for Transportation Engineering and Civil Engineering Materials

Required Qualifications:
• A master’s degree in Civil Engineering, Electrical Engineering, or Mechanical Engineering
• Research experience in one or more areas related to sensing, concrete, nondestructive testing (NDT), and data analytics
• Experience in programming tools (MATLAB, Python, LabVIEW, etc.), Signal processing
• Strong analytical skills
• Ability to conduct independent research and contribute to interdisciplinary projects
• Ability to prepare high-quality manuscripts, reports, documentation, and presentations
• Good written and verbal communication, teamwork, time-management, and organizational skills

How to Apply:
Please fill out the form: https://docs.google.com/forms/d/e/1FAIpQLSfmpZRBLIacNsyB4303p8DtZIUFZpYzKonGnAXrixBDxdKUUg/viewform

You can find more information about Dr. Tran and his lab at MTU website or Faculty Webpage.

Application Deadline: Application will be reviewed on a rolling basis until the position is filled - Apply ASAP!

About Michigan Technological University:
Michigan Tech is a leading public research university located in Houghton, Michigan. Known for its world-class faculty, state-of-the-art facilities, and strong emphasis on research and innovation, Michigan Tech provides an exceptional environment for PhD students with interdisciplinary opportunities and industry partnerships.

#FullyFundedPhD #PhDPosition #CivilEngineering #NDT #NonDestructiveTesting #TransportationEngineering #MichiganTech #Spring2027 #Fall2027 #PhDOpportunity

PhD Opportunity in Robotics | PARCE-LAB
Virginia Commonwealth University | Richmond, Virginia, USA
Department of Mechanical & Nuclear Engineering • College of Engineering

Join PARCE-LAB
PARCE-LAB invites prospective PhD students to express interest in working with Prof. Gustavo A. Cardona on robot planning, autonomy, and reliable control. Research connects mathematical reasoning with experiments on robots interacting with people and other robots under uncertainty.

PARCE stands for Planning, Autonomy, and Reliable Control for Embodied-Systems. In Colombia, parce is a familiar way to address a friend or companion, reflecting the lab's emphasis on collaboration.

Research Directions:
• Human-robot interaction and shared autonomy. Interpret human behavior and adapt robot assistance while accounting for uncertain intent, physical interaction, and safety constraints.
• Safe planning and control under uncertainty. Develop optimization-based planning and feedback control methods that account for imperfect models, disturbances, and robots’ physical limits.
• Formal methods and temporal logic. Encode task requirements, timing constraints, and competing objectives; develop algorithms to plan, monitor, and quantify task satisfaction.
• Multi-robot coordination. Coordinate robot motion and tasks under limited communication, differing capabilities, or failures, while maintaining safety and mission performance.

Projects may combine control theory, optimization, formal methods, and learning, with applications to humanoids, ground robots, and quadrotor teams.

Relevant Preparation:
Applicants from mechanical or electrical engineering, computer science, applied mathematics, and related fields are encouraged to express interest. Useful preparation includes linear algebra, dynamical systems, probability, control, optimization, or algorithms, together with programming. Python, C++, ROS/ROS 2, simulation, or robot hardware experience is welcome. Experience in every area is not expected; coursework, research, industry, or personal projects can demonstrate preparation. Prior publications are not required.

VCU and Richmond:
VCU is a public R1 research university with robotics research across several engineering departments. Its urban campus is part of Richmond, Virginia's capital. The city offers museums, an active arts community, and a varied restaurant scene. The James River Park System provides trails and opportunities for hiking, cycling, and paddling within the city.

How to Express Interest:
Complete the prospective PhD student interest form with your academic background, preferred start term, research interests, a technical project and your contribution, and a CV. Publications and links to other work are optional.
Interest form: https://forms.gle/NcR4qFgH77d4eNbB28
This form is an initial expression of interest. It does not replace the formal VCU graduate application or constitute an offer of admission or funding.

Faculty contact: Prof. Gustavo A. Cardona | cardonacalg@vcu.edu

#PhDOpportunity #Robotics #VCU #PARCELAB #PhDinRobotics #HumanRobotInteraction #ControlTheory #Optimization #FormalMethods #MultiRobot #RichmondVA

The research lab led by Dr. Pei Li at the University of Wyoming invites applications for one or two PhD positions starting in Fall 2027. Admitted students will receive full tuition support and a competitive stipend through Graduate Research Assistantships.

The lab conducts research at the intersection of AI and transportation, with emphasis on multimodal and agentic AI for transportation safety, VLMs/LLMs for transportation, and digital twins.

Qualifications:

1. A B.S. or M.S. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science, Statistics, Electrical and Computer Engineering, Artificial Intelligence, or a related field.

2. Programming, data analysis, and computational skills in Python, C++, R, MATLAB, or similar tools.

3. Experience with machine learning, LLM/VLM frameworks, traffic simulation, driving simulators, autonomous systems, or sensor fusion is preferred but not required.

About the Lab:
Dr. Pei Li is an Assistant Professor in the Department of Civil and Architectural Engineering and Construction Management at the University of Wyoming. He previously served as a Scientist at the University of Wisconsin–Madison and as a Postdoctoral Research Fellow at the University of Michigan.
The lab led by Dr. Li has access to a two-cab driving simulator and high-performance computing resources through UW’s Advanced Research Computing Center. For more information, visit https://peili-safety.github.io/.

About the University:
The University of Wyoming 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 Department of Civil and Architectural Engineering and Construction Management includes 24 faculty members and serves approximately 440 students.

How to Apply:
Please email Dr. Pei Li at pei.li@uwyo.edu with a curriculum vitae, statement of purpose, academic transcripts, and representative work (e.g., publications, project reports, GitHub repositories, or code samples).

#PhDPosition #FullyFundedPhD #UniversityOfWyoming #TransportationEngineering #ArtificialIntelligence #LLM #VLM #DigitalTwins #TransportationSafety #Fall2027

Dr. Michael Schuckers is recruiting 1-2 PhD students to start Fall 2027 in the fully-funded PhD in Data Science program at UNC Charlotte.

Research focus with me: Player tracking and/or pose estimation data in sports.

Ideal candidate:

• Strong interest in sports

• Background in data modeling / machine learning sufficient for graduate-level data science research

Program: Our PhD in Data Science is fully funded. Program details here: https://lnkd.in/gNTs3P4P

How to express interest:
I've created a short form to collect background info, CV/resume, and a brief statement of interest. It includes a question about US citizenship / national / permanent resident status, which is needed for some funding sources.

Interest form: https://docs.google.com/forms/d/e/1FAIpQLSd2hcjAEUJpaGIlklMwsMrYvpuvkC7kYN_ls5qLpnvhYn2WJQ/viewform

Please share with students who might be a good fit! For questions, feel free to reach out directly.

#SportsAnalytics #DataScience #PhD #MachineLearning #ComputerVision #PoseEstimation #PlayerTracking # UNCCharlotte

University: University of Tennessee, Knoxville (UTK)
Department: Mechanical / Aerospace Engineering - New Lab launching Jan 2027 (UTK Foundational AI Cluster)
Country: USA 🇺🇸

Research Areas:
🔹 Bio-inspired / Soft Robotics
🔹 Embodied AI, Reinforcement Learning / Physics-informed AI
🔹 Mechanical Intelligence & Programmable Shape Morphing
🔹 3D-printed Soft Actuators and Sensors
🔹 Flexible Electronics / Wearable Sensing

Open Positions:

• Fully Funded PhD Students (Spring / Fall 2027)

• Postdoctoral Researchers

• Undergrad / Masters Research Interns & Volunteers

Who can apply?
Backgrounds in Mechanical, Electrical & Computer, Biomedical, Materials Science, Computer Science or related fields. Hands-on experience in robotics hardware / sensors preferred.

Deadline: Rolling - Applications reviewed as they come until filled
Start: Spring 2027 / Fall 2027

How to Apply: Email your CV to jw4556@princeton.edu OR wangjue5056@gmail.com

Lab Website: https://lnkd.in/d83F88pP
Personal Website: https://lnkd.in/dZ7h85eg

Follow Inested for daily funded PhD updates.

#PhDPosition #PostdocPosition #FullyFundedPhD #UTK #UniversityofTennessee #SoftRobotics #BioinspiredRobotics #EmbodiedAI #ReinforcementLearning #MechanicalEngineering #AerospaceEngineering #Robotics #WearableTech #FlexibleElectronics #3DPrinting #PhDinUSA #StudyInUSA #WeAreHiring #Inested

University: Louisiana State University (LSU) - Lüleci Lab
Professor: Dr. Furkan Lüleci, Assistant Professor at LSU

Requirements:

1. MS degree in Civil Engineering

2. Experience with aerial/ground mobile robots (hardware/software)

3. Experience in Photogrammetry and LiDAR data collection & processing

Deadline: Open until filled - Position starts as early as Spring 2027 or Summer 2027 [Apply ASAP]

How to Apply: Email your CV directly to furkan.luleci@lsu.edu

Link: https://faculty.lsu.edu/simsis/

Follow Inested for daily PhD / Postdoc opportunities.

#PhDPosition #PhDOpening #CivilEngineering #LSU #LouisianaStateUniversity #Robotics #MobileRobots #Drone #LiDAR #Photogrammetry #StructuralEngineering #Geomatics #PhDinUSA #StudyinUSA #PhD2027 #Inested #AcademicTwitter #ResearchPosition

Coupling Ion Mobility-Mass Spectrometry and Ion Spectroscopy for Chirality Measurements

What the project is about:
The ERC-funded CHIRAMASS project aims to develop new analytical approaches for chirality measurements by coupling ion mobility-mass spectrometry (IM-MS) with gas-phase ion spectroscopy. The goal is to build innovative instrumentation and methodologies capable of probing the structure and handedness of molecular ions with unprecedented sensitivity and specificity.

You'll join the Biophysical and Bioanalytical Mass Spectrometry Laboratory under Prof. Valérie Gabelica. Research will involve development and implementation of instrumentation combining ion mobility spectrometry, mass spectrometry, laser-based spectroscopy, and advanced ion manipulation methods. Applications include structural characterization, chirality analysis, and fundamental studies of gas-phase ions relevant to chemistry, biology, and pharmaceutical sciences.

Profile they're looking for:
Highly motivated candidate with either:

• Master's degree (for PhD applicants), or

• PhD degree (for postdoc applicants)
  in Physics, Chemistry, Engineering, or related disciplines.

Useful skills: ion optics, simulations, vacuum systems, optics and lasers, instrument control, electronics, mass spectrometry instrumentation, and gas-phase ion chemistry or spectroscopy. English: B2 level or higher.

Why join us?

• You enjoy building things that do not yet exist - not a routine application project, but developing new instrumentation at the intersection of IM, MS, and spectroscopy

• You are scientifically curious and collaborative - at the interface of analytical chemistry, physical chemistry, spectroscopy, and instrumentation

• You want to make a visible contribution - team development as scientists, communicators, and future leaders

Logistics:

• Start date: As soon as 01/01/2027. Review of applications will begin on November 15, 2026 and continue until filled.

• Job location: Section of Pharmaceutical Sciences, Centre Médical Universitaire, Rue Michel-Servet 1 - CH- 1211 Genève, Switzerland.

• To apply: Follow instructions on https://euraxess.ec.europa.eu/jobs/472393

The University of Wyoming seeks a motivated PhD student in Civil Engineering for Spring or Fall 2027, focusing on construction automation, robotics, digital twins, and worker safety. Fully funded assistantships are available. Applicants should hold a master's, have programming skills, and demonstrate research interests. Submit CV, transcripts, test scores, research statement, and publications via email.

Dr. Lee is seeking one motivated graduate student (Ph.D. or M.S.) to join the COMPOUND Flood Lab in the Maseeh Department of Civil, Architectural and Environmental Engineering at The University of Texas at Austin in Fall 2027.

Research Focus:
I am particularly interested in students whose research interests include compound flooding, debris–structure–wave interactions, and/or flood risk assessment, using numerical modeling, machine learning, and remote sensing. The position is expected to be supported through a research assistantship and/or teaching assistantship.

Preferred Background:
Applicants with backgrounds in Civil Engineering, Coastal Engineering, Ocean Engineering, Hydrology, Hydraulic Engineering, or related fields are encouraged to apply. For Ph.D. applicants, a master’s degree is preferred.

Experience with numerical modeling (ADCIRC, Delft3D, SFINCS, OpenFOAM, MPM, etc.), machine learning (PIML, GNNs, transformers, neural operators, etc.), remote sensing, or high-performance computing is a plus. I am also particularly interested in applicants who have developed software or research workflows using large language models (LLMs).

How to Apply:
Interested students should apply to the graduate program in Civil, Architectural and Environmental Engineering at UT Austin by December 1, select either EWRE or MUSE, and indicate my name in their Statement of Purpose (SOP) to be considered by my research group.

I also encourage prospective students to email me at junwhanlee@austin.utexas.edu with the subject line “Prospective Graduate Student.” Please attach your CV and briefly highlight any relevant research experience, technical skills, or software/tools you have developed using LLMs.

More Info: COMPOUND Flood Lab website: https://sites.utexas.edu/junwhanlee/

Due to the volume of inquiries, I may not be able to respond to every email individually. Thank you for your understanding.

#PhDPosition #MSPosition #UTAustin #CompoundFlooding #FloodLab #CivilEngineering #CoastalEngineering #MachineLearning #RemoteSensing #Fall2027

Funding will include a graduate research stipend, tuition waiver, health benefits, and a summer stipend.

Potential project opportunities include:

• What is mitigation worth? Linking treatments to insurance outcomes • How do Arizona homeowners perceive and respond to wildfire risk? • Insurance availability, affordability, and equity in the wildland-urban interface • Insurance ripple effects on housing markets and local economies • The role of Homeowners’ Associations (HOA) in mitigating residential fire risk • Scenario planning to inform wildfire and insurance policy • Trends in Arizona home insurance premiums

To be considered, send a CV, one-page cover letter, and contact information for two professional references to Georgia.Roberts@nau.edu and Jesse.Abrams@nau.edu. These will be reviewed starting on November 16, 2026. The deadline for full applications for those encouraged to apply will vary by program start date.

DESCRIPTION:

Dr. Zheng is recruiting two fully funded PhD students to join his research group at Penn State, University Park, starting in Spring 2027

Advisor: Dr. Botong Zheng, Assistant Professor at Penn State University
Lab: Botong Zheng Research Group, The Pennsylvania State University
Department: Civil & Environmental Engineering, Architectural Engineering

01 - Experimental Materials
Develop, fabricate, and test advanced materials. Study how material properties and processing affect mechanical performance.

02 - Experimental Structures
Design and run structural experiments, including instrumentation, data acquisition, and testing of structural components and systems.

Both positions focus on hands-on experimental work and simulations.

Funding: Fully Funded
Start Date: Spring 2027

Details and Application:
https://botongzheng.com/
Questions: btzheng@psu.edu

#PhDPositions #PennState #StructuralEngineering #ExperimentalMaterials #ExperimentalStructures #CivilEngineering #ArchitecturalEngineering #FullyFundedPhD #Spring2027

Dr. Kim is recruiting a Ph.D. student to join my research group at Georgia Southern University.
A completed Master’s degree is required.

Applicants should have a strong background in one or more of the following areas:
• Control theory and systems
• Applied mathematics / optimization
• Machine learning
• Robotics and autonomous systems

I am particularly interested in candidates with strong mathematical and analytical skills who are motivated to conduct research at the intersection of control, learning, optimization, and autonomous systems.

How to Apply:
Interested applicants should send their CV to mingyu272@gmail.com with the subject line:
PhD Application – [Your Name]

Please feel free to share this opportunity with qualified candidates.

#PhDPosition #GeorgiaSouthernUniversity #ControlTheory #AppliedMathematics #Optimization #MachineLearning #Robotics #AutonomousSystems

Dr. Dongmin is excited to share that I'm looking for Ph.D. students to join my research group in the Department of Industrial & Systems Engineering at Mississippi State University, starting in Fall 2027.

Advisor: Dr. Dongmin Li, Assistant Professor at Mississippi State University

Research Focus:
My research broadly focuses on developing advanced statistical, optimization, and machine learning methods for data analysis and decision-making in complex systems. Specific research areas include:
• Spatiotemporal modeling and online monitoring
• Physics-informed machine learning
• Decision-making under uncertainty
With applications in manufacturing, environmental monitoring, and autonomous systems.

Requirements:
Applicants with backgrounds in industrial engineering, statistics, computer science, or related fields are welcome to apply!

Funding: The Ph.D. positions will be fully funded.

How to Apply:
If interested, please send your CV, unofficial transcripts, and a brief description of your research interests to dongmin@ise.msstate.edu.

More Details:
Check out my website: https://sites.google.com/view/dongmin-li/home

#PhDPosition #FullyFundedPhD #MississippiStateUniversity #IndustrialEngineering #SystemsEngineering #MachineLearning #StatisticalModeling #PhysicsInformedML #Fall2027

As the NSF FRR PI Meeting and IROS 2026 are taking place, I’d like to take this chance to share some good news from my lab and announce our new Ph.D. and Postdoctoral researcher openings 😃 !

My lab has recently received four new research awards and support from New York State programs, Syracuse University, and OpenAI's academic researcher program. These projects will support our research in human-robot collaboration, robotic manipulation, and intelligent humanoids in construction 🤖. I would like to thank my colleagues, Kun-Hao Yu and Wanliang Shan, who are leading the two New York State-funded projects, respectively. I appreciate the opportunity to work with them on these interesting projects.

With these new projects, my lab has multiple openings for Ph.D. students and postdoctoral researchers, starting in Spring or Fall 2027. Please see the attached flyer for more information.

OVERALL DESCRIPTION:
The A-STAR Lab in the Department of Civil and Environmental Engineering at Syracuse University is seeking highly motivated researchers to join our growing team. Supported by several recently funded research projects and research support from NSF, NVIDIA, NYSERDA, NY-THRIVE, and OpenAI, we are currently recruiting two fully funded researchers. The openings are expected to be filled by either two Ph.D. students or one Ph.D. student and one postdoctoral researcher. The anticipated start date is Spring 2027 or Fall 2027.

The selected researchers will work with Dr. Yizhi Liu and other A-STAR Lab members on interdisciplinary research at the intersection of construction, robotics, and AI. Researchers will have chances to develop and evaluate intelligent robotic systems that can perceive, learn, interact with humans, and perform complex tasks in dynamic and unstructured construction environments.

QUALIFICATIONS:
We welcome applicants from diverse academic backgrounds, including Robotics, Mechanical Engineering, Electrical and Computer Engineering, Computer Science, Civil Engineering, and other closely related fields. Candidates with experience in robot control and motion planning, robotic manipulation, human-robot interaction, or robotic perception are particularly encouraged to apply. Experience with robotics and AI tools or related platforms would be beneficial.
Ph.D. applicants should meet the general requirements for doctoral admission to Syracuse University (https://ecs.syracuse.edu/academics/graduate-programs)

APPLICATION INSTRUCTION:
Interested candidates are encouraged to contact Dr. Yizhi Liu at yliu580@syr.edu. Please include an updated CV and a brief description of your research interests and relevant experience for joining the A-STAR Lab. Please indicate in your email whether you are interested in the Ph.D. or Postdoctoral position and your preferred start term (Spring 2027 or Fall 2027).

Beyond our lab, I also look forward to seeing the continued growth of AI and robotics research within the CEE Department at Syracuse University. These projects provide new opportunities to connect advances in robotics and AI with the unique challenges and needs of the construction and civil infrastructure.

#PhDPosition #PostdocPosition #SyracuseUniversity #ASTARLab #Robotics #AI #HumanRobotInteraction #ConstructionRobotics #OpenAI #NSF #NVIDIA #Spring2027 #Fall2027