Research Associate, Research Scientist, Data Scientist

Academic

Faculty Non Bargaining

Research Associate

UBCO | Faculty | Department of Earth and Environmental Sciences | Irving K. Barber Faculty of Science (Kevin Hanna)

October 9, 2026

Applications will be accepted until 11:59 PM on the Posting End Date.

November 30, 2028

Salary is expected at $6400.00 monthly

Research Associate
Department of Earth and Environmental Sciences
Irving K. Barber Faculty of Science
UBC Okanagan

The Fire Ecology and Remote Sensing Lab in the Department of Earth and Environmental Sciences at the University of British Columbia, Okanagan campus, is seeking a full-time Research Associate to support an active research program spanning fire behaviour modelling, fire-relevant climate modelling, and remote sensing. The intial appointment is for 2 years, subject to work performance and funding, with the possibility of extension.

Working under the direction of Dr. Mathieu Bourbonnais, the successful candidate will bring expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor networks, ecological restoration, and climate downscaling, with active collaborations with fire management agencies, government, and Indigenous communities across Canada. While based at UBC Okanagan, the research associate will be required to conduct field work and meetings with collaborators throughout Canada.

International travel (United States, Australia, and Europe) may also be required depending on the project. The successful candidate will contribute to scientific publications, the preparation of competitive grant applications, and the advancement of the lab's research program. The anticipated starting date is December 1, 2026 or a date to be mutually agreed upon

• Design, implement, and manage fire behaviour and fire-weather/climate modelling analyses supporting the lab's research program.
• Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions.
• Develop and/or adapt machine learning and deep learning approaches for fire behaviour prediction, climate downscaling, or remote sensing data analysis.
• Develop reproducible computational workflows and data products to support lab research and agency partners.
• Contribute to the preparation of competitive grant applications and research funding proposals.
• Prepare figures, reports, manuscripts, and presentations for scientific publications and research meetings.
• Provide technical expertise, mentorship, and training to graduate students and other lab personnel.
• Collaborate with external partners and other multidisciplinary research teams.
• Perform other related duties as required.
• The primary focus is research; however, the individual may be provided with an opportunity to teach undergrad and graduate courses as a Sessional Lecturer and will be compensated accordingly.

• A PhD in wildfire science, forestry, atmospheric or climate science, geography, or a related discipline.
• Demonstrated experience with fire behaviour modelling systems (e.g., the Canadian FBP/FWI system, FARSITE, Prometheus, Flam Map, Quic Fire or comparable tools).
• Demonstrated experience with climate modelling or downscaling methods relevant to fire-weather or fire-danger prediction.
• Demonstrated experience applying remote sensing methods (satellite, UAV, and/or LiDAR-based) to fire, forest, or landscape-scale research questions.
• A research record, including peer-reviewed publications, commensurate with career stage.
• Excellent written and verbal communication skills.
• Operational…