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.
