Assistant Professor - Operations Research

University of Toronto; Toronto; On-site; CAD 140,000 - 170,000; Full time

Job summary

The University of Toronto invites applications for a tenure-stream faculty position in Operations Research/Artificial Intelligence within the Department of Mechanical and Industrial Engineering at St. George campus in downtown Toronto.

The successful candidate will develop an outstanding, externally funded research program and contribute to teaching and service. Requirements include a PhD in related fields by appointment, evidence of research excellence, and the ability to teach and contribute

Qualifications

• Evidence of research excellence through publications, statements, and strong referees.
• Teaching dossier with evidence of teaching effectiveness and evaluations.

Responsibilities

• Pursue innovative and independent research and establish a competitive, externally funded program.
• Assume teaching and service load as part of the appointment.

Skills

Research excellence

Teaching ability

Education

PhD in Operations Research / Industrial Engineering / Computer Science / Applied Mathematics

Tools

Machine learning awareness

Job description

Select how often (in days) to receive an alert:

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

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.

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

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.

Canadians and permanent residents will be given priority.

• a research statement outlining current and future research interests;
• a teaching dossier including
  • a teaching statement
  • sample course materials, and
  • teaching evaluations
• the name and contact information of three references