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Assistant Professor - Operations Research

$140k - $170k per year
Full-time

University of Toronto

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.

ABOUT US

Established in 1827, and located in vibrant downtown Toronto, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. UofT's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities attract outstanding students and academics from around the world. The Department of Mechanical & Industrial Engineering at the University of Toronto is home to the top mechanical and industrial engineering programs in Canada. We aim to foster a collegial world-class environment that excels in research, teaching and learning.

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 View email address on jobs.swagapp.com.

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

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact View email address on jobs.swagapp.com.

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