University of Toronto, Department of Computer Science

Position ID:UofT-Department of Computer Science-MLCSECE1 [#15431]
Position Title: Associate/Full Professor - Machine Learning
Position Type:Tenured/Tenure-track faculty
Position Location:Toronto, Ontario M5S 3G4, Canada [map]
Subject Area: Computer Science
Starting Date:2020/07/01
Appl Deadline:2020/01/30 11:59PMhelp popup finished (2019/12/02, finished 2020/06/29, listed until 2020/06/30)
Position Description:    

*** this position has been closed and new applications are no longer being accepted. ***

The Department of Computer Science in the Faculty of Arts & Science and the Edward S. Rogers Sr. Department of Electrical & Computer Engineering in the Faculty of Applied Science & Engineering at the University of Toronto invite applications for a joint full-time tenure stream position in the area of Machine Learning. The successful candidate’s primary department will depend upon their field of expertise. The appointment will be at the rank of Associate Professor or Professor, and will commence on July 1, 2020, or shortly thereafter.

Applicants must have a Ph.D. in Computer Science or Electrical and Computer Engineering, or a related field, with a demonstrated exceptional record of excellence in research and teaching. We seek applications from candidates with expertise in deep learning with a focus on applications to one or more engineering research themes, such as but not limited to, data analytics and intelligent systems, sustainability and engineering, and systems and human health. We seek candidates whose research and teaching interests compliment and strengthen our existing departmental strengths in the Department of Computer Science and the Department of Electrical & Computer Engineering. The successful candidate will have an established international reputation and will be expected to sustain and lead an outstanding, innovative, independent, competitive, and externally funded research program of international calibre, and to teach at both the undergraduate and graduate levels.

Candidates must provide evidence of research excellence as demonstrated by a record of sustained and impactful contributions and publications in leading journals or conferences in the field, the submitted research statement, distinguished awards and accolades, presentations at significant conferences, and a high profile in the field, with strong endorsements by referees of high international standing.

Evidence of excellence in teaching will be demonstrated by strong communication skills, strong letters of reference, and a teaching dossier submitted as part of the application to include: a compelling teaching philosophy statement highlighting teaching experience, areas of interest, and awards and accomplishments, and also including sample syllabi, and teaching evaluations.

The candidate will also be reviewed by the Vector Institute for Artificial Intelligence for consideration of appointment as a Faculty Member or Affiliate Faculty Member, and may be nominated for a Canada CIFAR AI Chair through the Vector Institute.

Eligibility and willingness to register as a Professional Engineer in Ontario is highly desirable.

Salary and rank will be commensurate with qualifications and experience.

The Department of Computer Science and the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto rank among the best in North America. Both Departments attract outstanding students, have excellent facilities, and are ideally located in the middle of a vibrant, artistic, diverse and cosmopolitan city. Additional information may be found at and

Concurrent with this search, the University of Toronto is undertaking a series of hires in the area of Deep Learning in recognition of University Professor Emeritus Geoffrey Hinton’s winning of the prestigious A.M. Turing Award in 2019. These searches are in the Department of Computer Science, and joint between the Department of Computer Science and the Edward S. Rogers Sr. Department of Electrical & Computer Engineering, and joint between the Department of Computer Science and the Department of Laboratory Medicine and Pathobiology.

Application material for the position must be submitted online through AcademicJobsOnline, It must include a cover letter, a curriculum vitae, a statement outlining previous and current research and future research plans, and up to three representative publications, as well as a teaching dossier to include a teaching philosophy statement highlighting teaching experience, interests, and awards and accomplishments, sample syllabi, teaching evaluations, and at least three letters of reference (on letterhead, signed and scanned) uploaded to AcademicJobsOnline directly by the writers. It is your responsibility to make sure your referees upload the letters while the position remains open. Review of applications will begin on January 7, 2020, however, the position will remain open until January 30, 2020.

If you have any questions about this position, please contact Sara Burns at

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, LGBTQ persons, and others who may contribute to the further diversification of ideas.

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

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

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