Assistant Professor, Teaching Stream - Computer Science

The Department of Computer Science in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Computer Science. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2024.

Candidates are required to have earned a Ph.D. in Computer Science or a related field by the time of appointment or shortly thereafter. Alternatively, candidates are required to have (i) a Masters in Computer Science or related field with (ii) at least 18 months of excellent teaching experience in a degree-granting program/post-secondary institution, and (iii) demonstrated excellent scholarly or creative professional activity in areas such as, but not limited to, exemplary Computer Science teaching practices, development of pedagogical software tools, course or curriculum development, or engagement with Computer Science Education research. Candidates must have a demonstrated record of excellence in teaching at the undergraduate level in a degree granting program, including lecture preparation and delivery, curriculum development, and development of course material/lectures. Additionally, candidates must possess a demonstrated commitment to excellence pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities. Candidates must have a record of active professional development and teaching innovation, which may include (but is not limited to) participation in pedagogical training, courses and conferences, writing books or Computer Science Education publications; developing novel curricula, pedagogical, or co-curricular techniques; leading outreach or equity, diversity and inclusion (EDI) initiatives; developing and sharing teaching-related tools. Additional administrative, organizational, and mentoring experience will be weighted favourably, with an emphasis on skills required to coordinate large courses with multiple lecture sections, instructors, and teaching assistants, and the background and communication skills necessary to work collaboratively with members of the department.

Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentation at significant conferences, and the full teaching dossier submitted as part of the application (with required materials outlined below) as well as strong letters of reference. Responsibilities of the successful candidate will include undergraduate teaching, managing teaching assistants, creation of course materials, curriculum development, and service to the department.

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.

The University of Toronto is an international leader in Computer Science research and education. We seek enthusiastic and innovative candidates whose teaching interests complement and enhance our existing departmental strengths. Candidates from all areas of computer science are encouraged to apply. The successful candidate will join a vibrant community of faculty, graduate students, and undergraduates who are engaged in pedagogical and curricular innovations, the development of new teaching technologies, and research in computer science education. Visit our CS Education Research Group website ( https://uoftcsed.github.io/people ).

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

All qualified candidates are invited to apply online through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/25775 . Applicants must submit a cover letter; a current curriculum vitae; a full teaching dossier, which must include (i) a statement of teaching philosophy, (ii) sample course syllabi, (iii) course evaluations, (iv) selected course materials developed by the candidate, (v) a list of any awards, and (vi) evidence of teaching-related scholarly activities; as well as outstanding recent letters of reference from referees of high standing.

Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose 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): teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.

Applicants must arrange to have at least 3-5 recent letters of reference (on letterhead, dated, signed and scanned) uploaded to AcademicJobsOnline directly by the writers. At least two reference letters should address the candidate’s excellence in teaching and at least one reference letter should address the candidate’s excellence in computer science. Three reference letters must be received for an application to be considered.

All application materials, including recent reference letters, must be received by January 3, 2024.

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.

Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.