Assistant Professor, Teaching Stream Computer Science
- Toronto, Ontario, Canada
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 a start date of July 1, 2022, or shortly thereafter.
The applicant must have completed a Masters degree in computer science or a related field, with a minimum of two years of teaching or related professional experience, including at least three 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 preferred. Candidates must have a 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 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 pedagogical inquiry will be demonstrated through 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, (vi) evidence of teaching-related scholarly activities, and (vii) outstanding letters of reference from referees of high standing. 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 our commitment to equity. Candidates are 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.
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).
All qualified candidates are invited to apply online through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/19316. Applicants must submit a cover letter, a current curriculum vitae, and 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, (vi) evidence of teaching-related scholarly activities, and (vii) outstanding letters of reference from referees of high standing.
Applicants must 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 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.
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.
Full consideration will be given to applications received by November 2, 2021, and applicants should endeavor to have all materials including reference letters submitted by then.
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 email@example.com.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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.
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 firstname.lastname@example.org .
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