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Job Source-linked

Assistant Professor - Statistical Learning Theory

University of Toronto
⌖ Toronto, Ontario, Canada ▣ Full-time, tenure stream Added 1 month ago
CountryCanada
Job typeFull-time, tenure stream
Published payCAD 140,000 – 190,000
Deadline10 Nov 2026

About this job

The University of Toronto's Department of Statistical Sciences is recruiting a full-time tenure-stream Assistant Professor in Statistical Learning Theory and adjacent fields, with an anticipated July 1, 2027 start.

Responsibilities & complete job details

The successful candidate is expected to establish an innovative, independent and externally funded research program, teach and contribute service in the Department of Statistical Sciences. The official posting lists an expected salary range of CAD 140,000 to CAD 190,000 per year and states that applications must be submitted through Academic Jobs Online rather than the University of Toronto job-board application button.

Requirements & qualifications

Applicants must have earned a PhD in Statistics, Computer Science, Data Science or a closely related discipline by the time of appointment or shortly thereafter, and demonstrate excellence in research and teaching in Statistical Learning Theory. All qualified candidates are invited to apply; Canadians and permanent residents will be given priority.

Benefits, funding & application

Published compensation: CAD 140,000 – 190,000

Required documents

  • Cover letter
  • Current curriculum vitae
  • Complete teaching dossier
  • Three signed letters of reference

About University of Toronto

University of Toronto is the organization associated with this source-listed listing. JobOpportunity keeps the original authoritative source attached to every record so applicants can verify final requirements directly.

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