Position Description
The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full‑time tenure‑stream position in the area of Statistical Learning Theory and adjacent fields. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2027.

Commitment to Diversity
This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence). Recognizing that Black, Indigenous, and other racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply.

Requirements and Qualifications

Candidates must have earned a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, with a demonstrated record of excellence in research and teaching in Statistical Learning Theory.

The successful candidate should have experience working with, teaching, or mentoring diverse groups or diverse students.

Evidence of research excellence must be provided through a record of publications in top‑ranked journals, research statements, conference presentations, awards, and strong endorsements from referees.

Evidence of teaching excellence should be demonstrated through a teaching dossier, teaching accomplishments, and strong letters of reference.





Responsibilities
The successful candidate will be expected to establish innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program. In addition, the candidate will be assigned a teaching and service load and is expected to demonstrate a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.

Hiring Salary Range
The expected salary range is $140,000 to $190,000 CAD per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

Application Process
All applicant materials must be submitted online. The following materials are required:

A cover letter

A current curriculum vitae

A complete teaching dossier, including a teaching statement, sample syllabi and course materials, and teaching evaluations

Three letters of reference (dated, on letterhead, and signed) uploaded directly by the writers

Equity, diversity, and inclusion are essential to academic excellence. We seek candidates who share these values and demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working setting.

Contact: Katrina Mintis ([email protected])

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📌 Assistant Professor – Statistical Learning Theory (Ontario)
🏢 The University of Toronto Engineering Society
📍 Ontario