Varuni Jayasooriya

Fully funded PhD opportunity at the Geospatial Intelligence for Green Cities (GIG-Cities) Lab , School of Environment and Sustainability, University of Saskatchewan , Canada. The project is titled Participatory and Physics-Informed GeoAI for Equitable Urban Heat Adaptation and focuses on how citizen-preferred, municipal/planner-preferred, and model-optimized urban heat adaptation strategies differ, and how these priorities can be reconciled. The research uses Saskatoon, Saskatchewan as a key urban case study and contributes to climate-resilient and net-zero cities by balancing physical performance, community priorities, economic feasibility, and equity. Relevant study areas include GeoAI , machine learning , GIS/Geomatics , remote sensing , urban climate modelling , spatial modelling , optimization , environmental science , geography , civil/environmental engineering , statistics , and applied mathematics . Applicants should have a first-class Master's degree or equivalent strong academic standing in a related field, plus strong quantitative, analytical, and computational skills. Good English communication skills are required. International applicants must meet University of Saskatchewan English language proficiency requirements. Preferred experience includes GNNs, PINNs, Python/R, geospatial programming, and publications. To apply, email Dr. Varuni Jayasooriya at [email protected] by 2026-08-31 with your CV, transcripts, brief research-interest statement, Master's research summary, relevant publications, and technical skills. Use the subject line PhD-W2027-[Your Full Name] .