The following Sessional Lecturer positions are available for 2025 Summer Session. For course descriptions, schedule of classes, tutorial/practical sections, see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/. Faculty/Division: University of Toronto Mississauga. Summer 2025 Sessions (F&S). Department/Subject Area: Communication, Culture, Information & Technology.

Appointment dates are May to June ('F'-1st term) and July to August ('S'-2nd term).

The ICCIT invites applications from qualified candidates who are not current University of Toronto students.

Duties

All normal duties related to the design, administration, and teaching of a university credit course, including preparation and delivery of course content; supervision of teaching assistants assigned to the course, if applicable; development, administration and marking of assignments, tests and exams; calculations and submission of grades to university officials; holding regular office hours, and maintaining reasonable availability for student contact. Candidates are required to travel to UTM to carry out duties, unless indicated as Online Synchronous delivery mode.

How to Apply:

A separate application package is required for each course. The package for each course must include a single file in PDF format, containing the following:

1. Completed CUPE 3902 Unit 3 application: https://www.utm.utoronto.ca/iccit/media/537/download?inline

2. Cover Letter,

3. Curriculum Vitae.

Please submit your application package to: ICCIT Director at: ccitjobs@utoronto.ca .

Salary:

Sessional Lecturer I: $9,457.90 inclusive of 4% vacation pay (0.5 FCE)

Sessional Lecturer I Long Term: $9,930.79 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer II: $10,121.76 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer II Long Term: $10,326.62 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer III: $10,362.76 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer III Long Term: $10,570.01 inclusive of 6% vacation pay (0.5 FCE)

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Notices and job ads for vacant positions are located on:

ICCIT Work with Us Website at: https://www.utm.utoronto.ca/iccit/work-us#Sessional%20Lecturers%20positions

University of Toronto - CUPE3902 Unit 3 Opportunities: https://jobs.utoronto.ca/job/Mississauga-2025-Summer-Sessional-Lecturer-Positions-ON/591026217/

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CCT111H5S Critical Coding (Online Synchronous)
This experiential learning course introduces students to the practice and theory of coding, programming, and basic development of user-oriented software. The lectures illustrate a core range of software development concepts that provide the foundations needed for the practical coding of front-end applications such as mobile interfaces or of back-end software such as introductory artificial intelligence or social media analysis. The practicals are lab-based and focus on applying these theoretical skills to solving problems grounded in a critical understanding of the interaction between people, culture, and society, by developing software or apps in languages such as Java, Objective C, Swift, Python.
July 1 - August 31, 2025 (actual work may extend into September 2025)
LEC0101 - Mondays and Wednesdays 11am-1pm (day/time subject to change)
Anticipated Enrolment: 90
Estimated TA Support: 120 hours
Qualifications: Ph.D. in a relevant discipline and or demonstrated excellence teaching and advanced technological skills are required. Must have completed a graduate degree specific to the subject matter. Experience in teaching a similar topic at the undergraduate level is required. Experience and ability to supervisor teaching assistants are also required.

CCT416H5F Social Data Analytics
This course highlights the research in analysis for social data and builds skills to undertake those analysis. It is a lab-intensive course intended to build up data analytic skills for novice and intermediate researchers. Students look at recent studies using "big data" which are primarily theoretical, including critiques of data analytics and concerns surrounding data ethics. Students learn a programming language -- Python -- and how to scrape social data, store and collect it, run basic statistics, generate visuals, and create a report based on a project of interest.
May 1 - June 30, 2025 (actual work may extend into July 2025)
PRA0101 - Tuesdays and Thursdays 1pm-3pm (day/time subject to change)
Anticipated Enrolment: 30
Estimated TA Support:45 hours
Qualifications: Ph.D. in a relevant discipline and or demonstrated excellence teaching and advanced technological skills are required. Must have completed a graduate degree specific to the subject matter. Experience in teaching a similar topic at the undergraduate level is required. Experience and ability to supervisor teaching assistants are also required.

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Closing Date: 04/04/2025, 11:59PM EDT
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This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.