Position Description

The Department of Computer Science in the Faculty of Arts & Science at the University of Toronto invites applications for a full-time tenure stream position in the area of Knowledge Representation and Reasoning. The appointment will be at the rank of Associate Professor, and will commence on July 1, 2022, or shortly thereafter.

Candidates must have earned a Ph.D. in Computer Science or a related field with a clearly demonstrated exceptional record of excellence in research and teaching.

We seek applications from candidates conducting research in the area of Knowledge Representation and Reasoning, broadly construed. We seek exceptional candidates whose research and teaching interests complement and enhance our existing departmental strengths. The successful candidate will have an established international reputation and will be expected to sustain and lead innovative and independent research at the highest international level and to maintain an outstanding, competitive, and externally funded research program. The successful candidate is also expected to contribute to the enrichment of both undergraduate and graduate programs in the department.

Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact contributions and publications in top-ranked field-relevant journals or conferences, the submitted research statement, presentations at significant conferences, distinguished awards and accolades, and other noteworthy activities that contribute to the visibility and prominence of the discipline, as well as strong endorsements by referees of top international stature.

Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier submitted as part of the application (with required materials outlined below), as well as strong letters of reference. Professional or lived experiences that enhance the ability to teach a diverse student body are highly valued.

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

At the University of Toronto, the creation of an equitable, diverse, and inclusive community is incumbent on every member of the community (see https://tinyurl.com/UofTEDI). Evidence of a commitment to equity, diversity, inclusion (EDI), and the promotion of a respectful and collegial learning and working environment will weigh favourably on the application. Such evidence may be demonstrated through the application materials, or in a separate statement covering 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 https://academicjobsonline.org/ajo/jobs/20498 . The required materials are a cover letter, the candidate's curriculum vitae, list of publications, research statement, a teaching dossier to include a strong teaching statement, sample course materials, and teaching evaluations, and at least three letters of reference (on letterhead, signed, dated, and scanned) uploaded to AcademicJobsOnline directly by the writers.

For more information about the Department of Computer Science see our website at https://www.cs.toronto.edu. If you have any questions about the position, please contact recruit@cs.toronto.edu.

Applicants should endeavour to submit all materials (including reference letters) by December 6, 2021, when we will start reviewing applications. However, we will give full consideration to all applications submitted by the closing date of January 10, 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.

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.

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