University of Victoria
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Fully Funded Master’s in Remote Sensing and Wildfire Science University of Victoria in Canada
Degree Level
Master's
Field of study
Computer Science
Funding
The two-year master's research/teaching assistantship is fully funded; no stipend amount or tuition coverage details are stated.
Deadline
Nov 15, 2026
Country
Canada
University
University of Victoria
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About this position
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 data and detailed forest-structure measurements can be used to characterize wildfire impacts.
The successful student will work in a research environment centered on remote sensing and AI, with opportunities to develop programming and LiDAR-related expertise. The position is associated with a two-year research and teaching assistantship and is intended for a Fall 2027 start.
Funding details
The two-year master's research/teaching assistantship is fully funded; no stipend amount or tuition coverage details are stated.
What's required
Applicants should have a relevant bachelor's degree and an interest in remote sensing, GIS, wildfire science, or environmental monitoring. Programming and LiDAR experience are assets.
How to apply
Email an expression of interest to Dr. Ji Won Suh at [email protected] by 15 November 2026. Review the linked Geography profile for additional information before applying.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.