Assistant Professor, Teaching Stream - Computer Science
- University of Toronto
- Toronto, ON
- Faculty Jobs
- Science & Technology, Computer Science & Information Technology
- Position Type
- Assistant Professor
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
Date Posted: 01/17/2023
Closing Date: 02/23/2023, 11:59PM ET
Req ID: 29074
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)
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 expected start day of July 1, 2023, or shortly thereafter.
Candidates from all areas of computer science are encouraged to apply. A Ph.D. in computer science or a related field is required by the time of appointment, or shortly thereafter. We seek enthusiastic and innovative candidates who have demonstrated professional industry leadership, preferably within R&D groups in the technology sector. Candidates’ teaching interests should also complement and strengthen our existing departmental strengths.
Candidates must have teaching experience and a demonstrated record of excellence in teaching at the undergraduate and graduate levels in a degree-granting program, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Additionally, candidates must possess a demonstrated commitment to excellent and impactful pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities. Candidates must possess strong organizational, interpersonal, and communication skills.
Demonstrated leadership and knowledge of professional skills (communication, entrepreneurship, project management) in a non-academic environment, primarily industry, is required. Preference will be given to candidates who have experience engaging with students both in and out of a course setting (for example, providing professional guidance, running professional skills seminars, workshops, etc.), experience contributing to program administration (for example, reviewing program applications, course coordination, curriculum development, etc.), in-depth knowledge of international education systems, and who have excelled in supervising undergraduate or graduate research projects.
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 references from referees of high standing. A full teaching dossier should include a statement of teaching philosophy, course syllabi, course evaluations, selected course materials, a list of any awards, evidence of teaching-related scholarly activities.
The successful candidate is expected to have a strong commitment to undergraduate and graduate teaching, contribute to the success of the Master of Science in Applied Computing (MScAC) program, and contribute to the enrichment of both undergraduate and graduate programs in the department. The successful candidate is expected to work with the Academic Director, Professional Programs, to support the teaching and academic aspects of the MScAC, a multi-disciplinary program currently with five areas of concentration (Artificial Intelligence, Computer Science, Data Science, Applied Math, and Quantum Computing) with additional concentrations under development. Program responsibilities will include: working with the MScAC admissions committee to support and ensure a robust admissions process, professional curriculum development and management, teaching courses as assigned, advising MScAC students, and supervision of MScAC related research projects.
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. 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.
All qualified applicants are invited to apply online, as per the directions below. Application materials for the position must be submitted online through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/24041. Applicants must submit a cover letter, a current curriculum vitae, a complete teaching dossier to include a strong statement of teaching philosophy, sample syllabi, teaching evaluations, selected course materials, a list of any awards, and evidence of teaching-related scholarly activities, and at least three letters of reference (on letterhead, signed and scanned) uploaded to AcademicJobsOnline directly by the writers. At least one reference letter must address the candidate’s excellence in teaching, and at least one reference letter should address the candidate’s professional leadership in industry.
All application materials, including reference letters, must be received by February 23, 2023.
For more information about the Department of Computer Science, see our website at http://www.cs.toronto.edu. For information about the MScAC program visit https://mscac.utoronto.ca/. If you have any questions about this position, please contact [email protected].
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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.
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].
Job Segment: Computer Science, Curriculum Development, Project Manager, Equity, Technology, Education, Research, Finance
Established in 1827, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. U of T's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities continually attract outstanding students and academics from around the world.
U of T is committed to providing a learning experience that benefits from both a scale almost unparalleled in North America and from the close-knit learning communities made possible through its college system and academic divisions. Located in and around Toronto, one of the world's most diverse regions, U of T's vibrant academic life is defined by a unique degree of cultural diversity in its learning community.The University is sustained environmentally by three green campuses, where renowned heritage buildings stand beside award-winning innovations in architectural design.
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Employees have access to:
- Excellent health and dental benefits;
- On-site support for training and career development;
- Flexible work arrangements;
- Childcare subsidy;
- Tuition waivers;
- Scholarships and/or tuition waivers for dependants;
- Generous paid time off;
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- University Pension Plan;
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