Canada: SciML and Numerical Weather Prediction

Simon Fraser University's Department of Mathematics (Metro Vancouver) invites applications for a postdoctoral position in hybrid scientific machine learning and numerical weather prediction, focusing on the Canadian Arctic and other regions with sparse observations. The fellow will work with Ben Adcock and Steven Ruuth, collaborating with Environment and Climate Change Canada through WxAlliance, funded by NSERC Alliance Society. Research may include operator learning, active learning and numerical methods combining physical equations with learned components. Topics will reflect your interests.

Applicants must hold a PhD by the start date in mathematics, applied mathematics, computer science, atmospheric science, physics or a related field. Strong research potential and scientific computing skills are essential; weather prediction experience is not required. Candidates of all nationalities, including those in Canada, may apply.

Salary: CAD $62,500 per year plus mandatory benefits. The initial 12-month appointment is renewable for a second year, subject to satisfactory progress and funding. Start: January 1-September 1, 2027, by agreement. Optional teaching, up to one undergraduate course per year, is paid in addition to the fellowship salary.

Apply through MathJobs: https://www.mathjobs.org/jobs/list/29084

Applications received by November 15, 2026 receive full consideration. See MathJobs for required application materials and reference letters. Enquiries: Ben Adcock (ben_adcock@sfu.ca) or Steven Ruuth (steven_ruuth@sfu.ca).

SFU is an equity employer and encourages applications from all qualified candidates.