An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Queen’s University invites applications for two tenure-track/tenured positions at the rank of Assistant or Associate Professor in supercomputing, high-performance computing, and extreme-scale systems within the Department of Electrical and Computer Engineering. The roles aim to build world‑class research programs with reduced teaching load to develop research excellence.
Ideal candidates will lead in computing systems for modelling, digital twins, and AI infrastructure, with a preferred start
Posted: September 15, 2026
Tenure-Track/Tenured Faculty Positions
in Supercomputing/ High-Performance Computing
Department of Electrical and Computer Engineering
Stephen J.R. Smith Faculty of Engineering and Applied Science
Queen’s University at Kingston, Canada
September 2026
Queen’s University is situated on traditional Anishinaabe and Haudenosaunee Territory.
Tenure-Track or Tenured Tier 2 Canada Research Chair. Canada Research Chairs were established as part of a national strategy to foster research excellence (www.chairs-chaires.gc.ca). The successful candidate must submit an external application to the Tri‑agency Institutional Program Secretariat that meets the requirements for the successful nomination of Tier 2 Chair as defined by the Canada Research Chairs Program:
Decreased teaching and administrative responsibilities will be associated with this position to enable the candidate to develop a world‑class research program.
Tenure-Track or Tenured Faculty Position (made possible by a transformative $30M investment by Bruce Mitchell Sc’68, DSc’20). The successful candidate will receive direct research support for the first 5 years of their tenure from the Bruce Mitchell Research Program, including resources to support the recruitment of multiple postdoctoral researchers/students. Decreased teaching and administrative responsibilities will be associated with this position to enable the candidate to develop a world‑class research program.
The ideal candidate will have: