MASc and PhD Opportunities in AI, Machine Learning, and Remote Sensing for Environmental Applications at the University of Calgary University of Calgary in Canada

Lincoln Linlin Xu, Assistant Professor in Geomatics Engineering at the University of Calgary, is recruiting MASc and PhD students for 2026 and 2027.

The lab focuses on AI, machine learning, remote sensing, and spatial/geospatial data science for environmental applications. Research themes include big geospatial data science and AI analytics, sensor integration (hyperspectral, multispectral, LiDAR, SAR), pan-Arctic ocean and northern land environment mapping, and 3D urban environment modeling and digital twins (including NeRF and Gaussian Splatting).

This opportunity is a strong fit for students interested in environmental monitoring, resource exploration, climate change studies, earth observation, and advanced data-driven modeling. The post does not mention a specific scholarship or stipend amount, but it clearly indicates graduate openings in the lab.

To apply, interested candidates should email a CV, transcripts, and a brief statement of interest to [email protected]. The post does not list a formal deadline, so applicants should contact the professor directly as soon as possible.