University of Toronto, Department of Computer Science

Position ID:UofT-Department of Computer Science-APMLDL [#22985]
Position Title: Assistant Professor
Position Type:Tenured/Tenure-track faculty
Position Location:Toronto, Ontario M5S 2E4, Canada [map] sort by distance
Subject Area: Computer Science / Machine Learning and Artificial Intelligence
Starting Date:2023/07/01
Appl Deadline:2022/12/30 11:59PMhelp popup** (posted 2022/10/11, updated 2022/09/27, listed until 2022/12/30)
Position Description:   URMs  

*** the listing date or deadline for this position has passed and new applications are no longer accepted. ***

The Department of Computer Science in the Faculty of Arts & Science at the University of Toronto invites applications for up to two (2) tenure stream positions in the area of Machine Learning with a focus on Deep Learning. The appointments will be at the rank of Assistant Professor and will commence on July 1, 2023, or shortly thereafter.


We seek applications from candidates conducting research in the area of Machine Learning with a focus on Deep Learning. Candidates must have earned a PhD 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 candidates whose research and teaching interests complement and enhance our existing departmental strengths.


The University of Toronto is an international leader in Computer Science research and education. The successful candidates will be expected to pursue innovative 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 to participate in service and leadership within the academic community.


Candidates must provide evidence of excellence in research which can be demonstrated by a record of contributions and publications in top-ranked field-relevant journals or conferences, or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements by referees of top international stature.


Candidates will also be expected to demonstrate evidence of excellence in teaching at the undergraduate and graduate levels through a teaching statement highlighting previous experience that can include 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 candidates 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.


Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.


Salary will be commensurate with qualifications and experience, and is competitive with our North American peers.


Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. Candidates are therefore also asked to submit a 1–2 page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.


Application materials for the position must be submitted online through AcademicJobsOnline at . The required materials are the candidate's curriculum vitae, list of publications, research statement, teaching statement, statement of contributions to equity and diversity, and at least three letters of reference (on letterhead, signed, dated, and scanned) uploaded to AcademicJobsOnline directly by the writers.


The University of Toronto offers the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world. For more information about the Department of Computer Science see our website at If you have any questions about the position, please contact


Review of applications will begin on December 12, 2022 and applicants should endeavor to submit all materials by this date, however, applications will continue to be accepted until December 30, 2022.


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 is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
Department of Computer Science
University of Toronto
40 St.George Street, Rm. 4244
Toronto, ON M5S 2E4