Data Science – Assistant Professor, Teaching Stream

نشرت شهر واحد منذ

University of Toronto (St. George Campus)

Location: Ontario
Date posted: 2023-10-31
Advertised until: 2023-12-30

Closing Date: 01/08/2024, 11:59PM ET
Req ID: 33787
Job Category: Faculty – Teaching Stream (continuing)
Faculty/Division: Faculty of Applied Science & Engineering
Department: Department of Mechanical and Industrial Engineering
Campus: St. George (Downtown Toronto)

The Department of Mechanical & Industrial Engineering in the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Data Science. The appointment will be at the rank of Assistant Professor, Teaching Stream, with an anticipated start date of July 1, 2024.

Candidates must have a graduate degree (at least a master’s degree is required) in engineering, computer science, statistics, data science, or a related field at the time of appointment; a PhD is preferred. We seek candidates whose teaching interests complement and enhance our existing departmental strengths. The successful candidate will teach introductory and advanced courses in data science, machine learning, deep learning, cloud data services, and related areas, to graduate and undergraduate students from across the Faculty of Applied Science & Engineering. It is preferred that candidates have an undergraduate degree in engineering and be registered, or eligible for registration as, a Professional Engineer.

The successful candidate will have demonstrated excellence in teaching and pedagogical inquiry, including in the development and delivery of undergraduate and graduate courses, curriculum development, and supervision of student projects. This will be demonstrated by strong communication skills evident throughout the application process; a teaching dossier that includes a compelling statement of teaching highlighting areas of interest, awards, accomplishments and teaching philosophy; sample course syllabi and materials; teaching evaluations; and strong letters of reference from referees of high standing that endorse excellent teaching and a commitment to excellent pedagogical practices and teaching innovation.

The Department of Mechanical & Industrial Engineering recognizes the importance and benefits of including and fostering a diversity of perspectives in pursuit of its academic mission. We seek candidates who value diversity and whose teaching and service bear out our commitment to equity. Candidates are therefore asked to submit a statement (up to 2 pages) describing any equity, diversity and inclusion considerations that enrich their approaches to teaching, inform their approach to teaching and educating new and existing audiences, and/or foster innovation in their practice.

Salary will be commensurate with qualifications and experience.

Established in 1827, the University of Toronto is Canada’s largest university, recognized as a global leader in research and teaching. The University’s distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities continually attract outstanding students and academics from around the world. The Department of Mechanical & Industrial Engineering at the University of Toronto is home to the top Mechanical and Industrial Engineering programs in Canada. We foster a world-class environment that excels in teaching, learning and research.

All qualified candidates are invited to apply online by clicking on the link below.

Applications must include a cover letter, curriculum vitae, teaching dossier (including a statement of teaching philosophy, sample syllabi, and teaching evaluations), and the equity, diversity and inclusion statement (as outlined above).

Applications must provide the names and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee the day after an application is submitted. Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ.

Submission guidelines can be found at: Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. For more information on the University of Toronto, and the Department of Mechanical & Industrial Engineering, please visit our website: If you have questions about this position, please contact

All application materials, including reference letters, must be received by the closing date of January 08, 2024.

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.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see

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

Apply now:,-Teaching-Stream-Data-Science-ON/575341117/

خصائص الوظيفة

تصنيف الوظيفةEnseignement et recherche scientifique

التقدم الآن

شاهد أيضاً

ديلويت | عالم واحد شاب | منحة 2024

إن التحديات العالمية المتزايدة التعقيد التي نواجهها اليوم تتطلب منا أن نعمل معًا لبناء مستقبل …