University of Toronto

Assistant Professor - Operations Research

University of Toronto • $140K — $170K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or related fields by the appointment date.
  • Record of excellence in research with publications in top-tier journals.
  • Strong evidence of teaching experience with a comprehensive teaching dossier.
  • Ability to establish a competitive, externally funded research program.
  • Awareness of machine learning and AI applications in research.

Responsibilities

  • Pursue innovative and independent research.
  • Establish a competitive and externally funded research program.
  • Engage in departmental teaching responsibilities.
  • Provide service to the department and university.
  • Contribute to the enhancement of departmental strengths through research and teaching.

Benefits

  • Access to a vibrant academic community in downtown Toronto.
  • Opportunities for interdisciplinary collaboration.
  • Strong support for research initiatives and funding.
  • Engagement with a diverse student body.
  • Professional development resources available for faculty.
Full Job Description
Date Posted: 09/29/2026
Closing Date: 11/09/2026, 11:59PM ET
Req ID: 50207
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Faculty of Applied Science & Engineering
Department: Department of Mechanical and Industrial Engineering
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes

POSITION DESCRIPTION

The Department of Mechanical & Industrial Engineering in the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time tenure stream position in Operations Research. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2027.

Areas of interest include, but are not limited to, continuous and/or discrete optimization, online algorithms and sequential decision-making, (algorithmic) game theory, mechanism and market design, decision-focused learning, and other emerging and related areas at the intersection of Operations Research and Artificial Intelligence

REQUIREMENTS AND QUALIFICATIONS

Candidates must have earned a PhD degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or related areas by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths. Ideally, candidates should also demonstrate an awareness of modern machine learning and AI in their research.

Candidates must provide evidence of research excellence 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.

Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier (with required materials outlined below) submitted as part of the application, as well as strong letters of reference.

RESPONSIBILITIES

The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and externally funded research program.

In addition, the successful candidate will be assigned a teaching and service load.

HIRING SALARY RANGE

The expected salary range is CAD $140k-170k per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

APPLICATION PROCESS

All applications materials, including recent reference letters, must be received by November 9, 2026.

All qualified candidates are invited to apply online by clicking the link below. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MIS Word format. Applicants must submit the following materials:
  • a cover letter;
  • a current curriculum vitae;
  • a research statement outlining current and future research interests;
  • a recent publication;
  • a teaching dossier including
    • a teaching statement
    • sample course materials, and
    • teaching evaluations
  • the name and contact information of three references


The University of Toronto's recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours of an application being submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. Submission guidelines and details on the automatic reference letter collection, including timelines, are available in the candidate FAQ.

If you have any questions about this position, please contact Professor Peyman Mohajerin Esfahani at [redacted].

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

About University of Toronto

The University of Toronto is a public research university located in Toronto, Ontario, Canada. It is the largest university in Canada by enrollment and one of the top-ranked universities in the world. The university offers undergraduate and graduate programs in a wide range of academic disciplines, including arts, sciences, engineering, and business. The University of Toronto is known for its research excellence and has produced many notable alumni, including four Nobel laureates. The university was founded in 1827 and has three campuses in the Toronto area.
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