Assistant Professor – Statistical Sciences University

The Department of Computer and Mathematical Sciences and the Canada Excellence Research Chair Network for Equity in Sustainability Transitions (CERC NEST) at the University of Toronto Scarborough (UTSC), invites applications for a full-time tenure stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2026.

The CERC NEST employs a transdisciplinary and comparative approach, working with communities and city actors in Toronto and internationally, to examine how urban sustainability transitions can foster inclusive decision-making, address regulatory and investment inequities, and ensure a fair distribution of benefits and protection from harms.

Applicants must have earned a PhD degree in Statistics, or a related area (such as Computer Science, Data Science, Quantitative Social Science, Sociology, Economics, Epidemiology, and so on) by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. Candidates in all areas of applied statistics will be considered, although candidates are expected to have established strengths in spatial statistics and/or applied machine learning.

Grounded in the CERC-NEST goal of connecting statistics with knowledge co‑production, this hire will have an existing or emerging substantive research agenda related to socio‑environmental challenges of equity in urban sustainability transitions, consistent with the vision, objectives and outcomes of the CERC NEST (‑us/).

The successful candidate will have a demonstrated capacity to contribute to an undergraduate curriculum in statistics, which may be demonstrated through teaching accomplishments and experience, and endorsement from referees. We seek exceptional candidates whose research and teaching interests complement and strengthen our existing departmental strengths and dovetail with the CERC NEST strengths. The successful candidate will be expected to mount independent and innovative research, and to establish an outstanding, competitive, and externally funded research program.

Candidates must provide evidence of excellence in research, which can be demonstrated by a record of publications in top‑ranked and field‑relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees of top international stature.

Evidence of excellence in teaching will be demonstrated by teaching accomplishments, and the teaching dossier, including a teaching statement, sample course materials, and teaching evaluations or other evidence of superior performance in teaching‑related activities submitted as part of the application, as well as strong letters of reference. Other teaching‑related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters.

Candidates must also show evidence of a commitment to equity, diversity, and inclusion and to the promotion of a respectful and collegial learning and working environment, as demonstrated through the application materials.

The expected salary range is $150,000 to $190,000 CAD per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

UTSC is one of three campuses of the University of Toronto, an institution consistently ranked among the world’s leading research universities and an international leader in statistical research and education. As part of this vibrant academic community, the successful candidate will have the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world.

The appointee will also be a member of the tri‑campus Graduate Department of Statistical Sciences, participating actively in its graduate teaching and supervision.

All qualified candidates are invited to apply online at Academic Jobs Online,…