University of Toronto, Department of Computer Science

Position ID:UofT-Department of Computer Science-CLTAAP22 [#22603]
Position Title: Assistant Professor, Contractually Limited Term Appointment
Position Type:Non tenure-track faculty
Position Location:Toronto, Ontario M5S 2E4, Canada [map] sort by distance
Subject Area: Computer Science / Education
Appl Deadline:2022/11/07 11:59PMhelp popup (posted 2022/09/29, updated 2022/09/02, listed until 2022/11/07)
Position Description:    

*** 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 and Science at the University of Toronto invites applications for one (1) three-year Contractually Limited Term Appointment (CLTA) at the rank of Assistant Professor, Teaching Stream, in the field of Computer Science. The appointment is expected to begin on July 1, 2023, or shortly thereafter, and end on June 30, 2026.

Applicants must have earned a Masters degree in Computer Science or a related field, with a minimum of two semesters of teaching in a degree granting program/post secondary institution, by the time of appointment. A PhD in computer science or a related field is strongly preferred. We seek candidates whose teaching interests complement and enhance our existing departmental strengths . Candidates from all areas of computer science are encouraged to apply. 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 excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities.

Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application (with required materials outlined below) as well as strong letters of reference from referees of high standing.

Preference will be given to candidates with the following experience: coordination of large courses with multiple lecture sections, instructors, and teaching assistants; past teaching or post-secondary education in artificial intelligence, computer systems, web programming, theory of computation, database systems, and software engineering; student engagement activities, such as running seminars, contests, workshops, and student-run initiatives; contributions to departmental administration, such as course coordination and managing TAs; supervision of undergraduate or graduate research projects.

Preference will be given to candidates that provide evidence of active professional development and teaching innovation, which may include participation in pedagogical training, courses and conferences; publications in Computer Science Education journals or conferences; developing novel curricula, pedagogical, or co-curricular techniques; leading outreach or equity, diversity and inclusion (EDI) initiatives; developing and sharing teaching-related tools; administrative, organizational, and mentoring experience. 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. Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose teaching and service bear out commitment to equity. 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.

The University of Toronto is an international leader in Computer Science research and education. 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/). Salary will be commensurate with qualifications and experience, and is competitive with our North American peers.

All qualified candidates are invited to apply online through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/22603. Applicants must submit a cover letter, a current curriculum vitae, and a full teaching dossier that provides evidence of excellence in teaching and commitment to excellent pedagogical inquiry. This teaching dossier must include a statement of teaching philosophy; sample course syllabi; course evaluations; selected course materials developed by the candidate; a list of awards (if any); evidence of teaching-related scholarly activities; a statement of Equity, Diversity and Inclusion (EDI) as outlined above, and outstanding letters of reference from referees of high standing.

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

All application materials, including reference letters, must be received by November 7, 2022. 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 Sheryl Phillips at recruit@cs.toronto.edu. 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 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:
www.cs.toronto.edu
email
 
Department of Computer Science
University of Toronto
40 St. George Street, Rm. 4244
Toronto, ON M5S 3E4
CANADA