We welcome curious, collaborative people from all backgrounds, especially those interested in working where fisheries science, Indigenous-led stewardship, and policy meet.
We are not actively advertising funded positions right now, but we’re always happy to hear from motivated students with their own funding ideas. Check back or follow our news for announcements.
Our lab is part of SFU’s School of Resource and Environmental Management (REM), an interdisciplinary school where ecologists, economists, planners, and social scientists work side by side.
Most projects combine field or partner-collected data with quantitative models, and many are developed in collaboration with Indigenous organizations and government agencies. Students typically gain experience in R, Bayesian modelling, population dynamics, and communicating results to decision-makers.
We value kindness, open science, and learning together. You don’t need to arrive as an expert modeller; you do need curiosity and a willingness to learn.
Graduate students apply through REM’s graduate programs. Check the REM website for program details and deadlines.
Before applying, please email Kyle with:
Contact details are on Kyle’s SFU REM profile.
No. Comfort with numbers and a willingness to learn R are more important than prior expertise. Kyle teaches courses in R and applied Bayesian modelling, and lab members learn a lot from each other.
Funding depends on current grants and on scholarships. Strong applicants are encouraged to apply for national scholarships such as NSERC or SSHRC, and we can help with applications.
Some projects involve fieldwork with partners; others are fully quantitative using existing datasets. We'll talk through options that suit your interests and circumstances.
Yes. Once we've been in touch, we'll connect you with lab members so you can hear what the lab is like firsthand.