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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Computer Science

Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Computer Science

InsideHigherEdCambridge, Ontario, Canada
1 day ago
Job type
  • Full-time
Job description

Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Computer Science

Date Posted : 10 / 08 / 2024

Closing Date : 12 / 02 / 2024, 11 : 59PM ET

Req ID : 39729

Job Category : Faculty - Teaching Stream, Contractually Limited Term Appointment

Faculty / Division : Faculty of Arts & Science

Department : Dept of Computer Science

Campus : St. George (Downtown Toronto)

Description :

The Department of Computer Science in the Faculty of Arts and Science at the University of Toronto invites applications for a Contractually Limited Term Appointment (CLTA) in the field of Computer Science. The appointment will be at the rank of Assistant Professor, Teaching Stream for a three-year term with an anticipated start date of July 1, 2025.

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 applicants whose teaching interests complement and enhance our existing departmental strengths . Applicants from all areas of computer science are encouraged to apply.

Applicants 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, applicants must possess a demonstrated commitment to excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities.

Preference will be given to applicants 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.

Applicants 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, presentations 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 applicant will include undergraduate teaching, managing teaching assistants, creation of course materials, curriculum development, and service to the department.

The University of Toronto is an international leader in Computer Science research and education. The successful applicant 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 applicants are invited to apply online through AcademicJobsOnline at https : / / academicjobsonline.org / ajo / jobs / 28461 . 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 applicant, (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.

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 applicant’s excellence in teaching and at least one reference letter should address the applicant’s excellence in computer science. Three reference letters must be received for an application to be considered.

Equity, diversity and inclusion are essential to academic excellence as articulated in the University of Toronto’s Statement on Equity, Diversity and Excellence . We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion and the promotion of a respectful and collegial learning and working environment.

Applicants should endeavour to submit all materials, including reference letters, by October 28, 2024, when we will start reviewing applications. However, we will give full consideration to all applications submitted by the closing date of December 2, 2024.

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 [email protected] .

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 applicants 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.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [email protected] .

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