Assistant Professor, Teaching Stream - Computer Science

Assistant Professor, Teaching Stream - Computer Science

Date Posted : 09 / 18 / 2024

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

Req ID : 39692

Job Category : Faculty - Teaching Stream (continuing)

Faculty / Division : University of Toronto Scarborough

Department : Department of Computer and Mathematical Sciences

Campus : University of Toronto Scarborough (UTSC)

Description :

The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC) invites applications for a full-time teaching stream position in Computer Science.

The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2025.

Applicants must have earned a PhD degree in Computer Science or a closely related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in teaching.

We seek candidates whose teaching interests complement and enhance our existing departmental strengths . Candidates must have teaching excellence in a degree-granting program at the undergraduate level, including lecture preparation and delivery, curriculum development, and development of online material / lectures.

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

We are interested in applicants from any area of computer science.

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.

Candidates must also show evidence of a commitment to equity, diversity, inclusion, and to the promotion of a respectful and collegial learning and working environment, as demonstrated through the application materials.

Salary will be commensurate with qualifications and experience.

The University of Toronto is an international leader in Computer Science research and education. We seek candidates who demonstrate the intellectual curiosity and drive to pursue innovative pedagogical methods, and are interested in establishing a long-term career as a teaching stream faculty member in the department.

The successful candidate will join a vibrant group of teaching stream faculty, who are engaged in pedagogical and curricular innovations and research.

Faculty are expected to combine their expertise in the discipline with best practices in teaching to create rich learning environments that embrace diversity, promote equity, and integrate research in a manner that challenges students to develop skills and ethics to be leading citizens.

In addition to teaching, the successful candidates will be expected to perform standard professional and administrative activities typical of an academic department, and to collaborate with colleagues on program development.

All qualified applicants are invited to apply online through AcademicJobsOnline, https : / / academicjobsonline.org / ajo / jobs / 28463 .

Applicants must submit a cover letter; a current curriculum vitae; a complete teaching dossier which includes a strong statement of teaching philosophy, sample syllabi, course materials, and teaching evaluations;

along with the names and email addresses of at least three referees.

Applicants must arrange to have at least three recent letters of reference uploaded through AcademicJobsOnline directly by the referees.

At least one reference must primarily address the candidate’s teaching. Applicants remain responsible for ensuring that references submit recent letters (on letterhead, dated and signed) by the closing date.

For more information about the Department of Computer and Mathematical Sciences, please visit our home page at http : / / www.

utsc.utoronto.ca / cms / . If you have any questions regarding this position, please contact the Associate Chair of Computer Science, Dr.

Anya Tafliovich ( [email protected] ). For questions regarding any aspect of the application process, please contact Weixuan Wang ( [email protected] ).

Review of applications will begin after November 8, 2024; however, applications will be accepted until December 2, 2024. All application materials, including recent reference letters, must be received by December 2, 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.

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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