Fully Funded PhD in Geospatial Ecology, Earth Observation, and AI for Forest Damage Assessment University of Exeter in United Kingdom

The University of Eastern Finland invites applications for three full-time Doctoral Researcher (PhD Student) positions in the Development of Data Science and AI for Spatial Data at the School of Computing, Kuopio campus, Finland. The positions are part of the ERC-funded MINE-THE-GAP project, which combines satellite imagery, mining reports, and artificial intelligence to map mining activities and their global environmental impacts. Each doctoral researcher will lead a thesis in one of three area...

The University of Glasgow is offering a funded 3.5-year PhD studentship through the ExaGEO DLA on the next generation of AI-driven earth observation . The doctoral research will focus on transforming UK land cover classification using artificial intelligence and earth observation approaches. The project is positioned to support improved understanding and monitoring of environmental change, with the broader aim of helping address global environmental crises. This is a multidisciplinary research o...

Funded PhD opportunities are available at the University of Florida (UF/IFAS) in GeoAI and Earth system science focused on carbon-water ecosystem services . The openings are with Dr. Chang Zhao and Dr. Jiangxiao Qiu , who are recruiting PhD students to work across two research directions: the Zhao Lab (Earth observation and GeoAI) and the Qiu Lab (landscape ecology and process-based modeling). The research integrates Earth observations , field and sensor data, process-based biophysical modeling,...

PhD project in Arctic landscape change at the University of Gothenburg, led by Jakob Assmann in the Spatial Ecology & Arctic Change research area. The project will investigate how Arctic landscapes are changing by combining drone imagery, satellite imagery, machine learning and artificial intelligence. The research sits at the intersection of remote sensing, data science and Arctic environmental research, offering an opportunity to develop and apply computational approaches to the study of spati...

This fully funded master’s opportunity is based in the Remote Sensing & AI Lab within the Department of Geography at the University of Victoria in Canada. The research focuses on mapping wildfire severity by combining satellite time-series data with LiDAR forest-structure data. The project offers training and research experience in remote sensing, geospatial analysis, GIS, wildfire science, environmental monitoring, and artificial intelligence. Students will investigate how Earth-observation dat...