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The University of Toronto Mississauga invites applications for a full-time tenure-stream Assistant Professor position in Computer Science, with anticipated July 1, 2027 start. Candidates must have a Ph.D. in Computer Science or related field and demonstrate research and teaching excellence.
Equity, diversity, and inclusion are essential to excellence and must be reflected in the application materials. The successful candidate will teach in the undergraduate program, join the tri-campus
Closing Date: 12/15/2026, 11:59PM ET
The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for one (1) full-time tenure stream appointment in the area of Computer Science. The appointment will be at the rank of Assistant Professor with an anticipated date of July 1, 2027.
This position is being advertised concurrently with the position for Associate Professor/Professor in Computer Science (Req ID: 50132); however, only one appointment will be made. To be considered for this role and/or the Associate Professor/Professor in Computer Science (Req ID: 50132) position, the candidate must submit a separate application for each posting.
Candidates must have earned a Ph.D. degree in Computer Science or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek exceptional candidates whose research and teaching interests complement and enhance our existing departmental strengths .
Candidates must provide evidence of research excellence which can be demonstrated through a record of publications in top-ranked and field-relevant journals or conferences, or forthcoming publications that meet high international standards; the submitted research statement; presentations at significant conferences; awards and accolades; and strong endorsements from referees.
Candidates must demonstrate excellence in teaching at the undergraduate and graduate levels through teaching accomplishments, and the teaching dossier, including a teaching statement highlighting previous experience that can include teaching-related activities such as leading successful workshops or seminars, student mentorship, delivering conference presentations or posters, or experience as a teaching assistant or course instructor. Excellence in teaching may also be demonstrated through materials such as sample course syllabi (either of courses delivered by the candidate or planned for the future), course evaluations, or other evidence of superior performance in teaching-related activities submitted as part of the application. Professional or lived experiences that enhance the ability to teach a diverse student body are highly valued.
Equity, diversity and inclusion are essential to academic excellence as articulated in the University of Toronto’s Statement on Equity, Diversity and Excellence . Candidates must demonstrate, in their application materials, an ability to foster diversity on campus and within the curriculum or discipline, and must show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial environment. Examples of such evidence include: teaching that incorporates a focus on underrepresented communities; efforts undertaken to develop inclusive pedagogies, collaboration, and engagement with underrepresented communities; and mentoring of students from underrepresented groups.
The successful candidate will be assigned a teaching load and will teach in the undergraduate program at UTM and will also be a member of the tri-campus graduate Department of Computer Science at the University of Toronto. The successful candidate will be expected to pursue innovative and independent research at the highest international level; to establish an outstanding, competitive, and externally funded independent research program; to contribute to the enrichment of both undergraduate and graduate programs in the department; and will be assigned a service load and will participate in service and leadership within the academic community.
The salary will be commensurate with qualifications and experience. The salary range for this position exceeds $200,000 CAD per annum.
The University of Toronto is an international leader in Computer Science research and education and offers the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world.
All application materials, including recent signed reference letters, must be received byDecember 15, 2026.
Caution: This ad is “posted only” to the U of T faculty job board. Please see the information above for the application instructions. Applications submitted via the U of T platform will NOT be considered for this position.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
The University of Toronto has implemented a process to substantiate Indigenous Membership/Citizenship/Enrolment for those candidates who identify as Indigenous. For more information regarding the University's Indigenous Substantiation Process, please refer to: Indigenous Substantiation Website .
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.
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 uoft.careers@utoronto.ca .