Shape research on GeoAI and urban systems as an Assistant Professor at McGill University. Teach geospatial data science across undergraduate and graduate programs.

McGill University seeks a scholar whose work combines geospatial data science with substantive urban research. Areas of interest include GeoAI, applied machine learning, computational spatial analysis, and spatiotemporal modeling. The appointment contributes to Geography, the Geospatial Data Science major, and Urban Studies through teaching and graduate training.

Key Responsibilities:

- Teach GIS, spatial analysis, and spatial statistics courses
- Support undergraduate and graduate education in geospatial data science
- Contribute teaching to the Geography curriculum




- Support the new Geospatial Data Science major
- Develop current courses aligned with research expertise

Requirements:

- PhD in Geography or cognate field by appointment
- Expertise in geospatial data science methodology
- Substantive research focus on cities and urban systems
- Interest in GeoAI or applied machine learning
- Authorization to work in Canada and Quebec willingness

Apply your GeoAI, computational spatial analysis, and teaching expertise to McGill University’s expanding urban data science curriculum.

📌 Assistant Professor GeoAI Urban Systems (Montreal)
🏢 McGill University
📍 Montreal