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Sessional Lecturer: IMI2995H - Special Topics in Urban Innovation - Urban Analytics: Data, Methods,

Date Posted: 09/25/2026

Req ID: 50320

Faculty/Division: UofT Mississauga

Department: UTM: Inst. for Management & Innovation

Campus: University of Toronto Mississauga (UTM)

Existing Vacancy: Yes

Description

Sessional Lecturer: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization The Institute for Management and Innovation’s Master of Urban Innovation has the following Sessional Lecturer position available for the Winter 2027 term and invites applications from suitably qualified candidates who are not current University of Toronto students. No late applications can be considered.

Posting Date: September 25th, 2026

Closing Date: October 19th, 2026

Course Title: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization

Class Schedule: Mondays, 2PM - 5PM

Dates of Appointment: January 1st, 2027 – April 30th, 2027

Description of Course: This course introduces students to foundational and intermediate methods in urban data analytics, visualization, and storytelling. Through hands-on learning and the use of real-world urban datasets, students will develop practical skills in collecting, analyzing, interpreting, and communicating data through maps, visualizations, and compelling narratives. This course aims to equip students with the confidence and skills to apply data-driven approaches to urban challenges.

Position Description: All normal duties related to the design, teaching and delivery of a University credit course including: weekly lectures. Meeting with student teams to guide/advise them on their assignments. Holding weekly office hours.

Marking/evaluating all student assignments; recording student attendance; recording and submitting grades; and communicating with students on course related matters. Building and maintaining Quercus course shell. Design course syllabus,



content and assignments in close consultation with Program Director.

Liaise with Program Director regarding course content and curriculum.

Minimum Qualifications: Ph.D. (Geography, Urban Planning, Data Science or related field). Demonstrated expertise in urban data analytics, Geographic Information Systems (GIS), spatial analysis, data visualization, and the application of data-driven methods to urban research and policy. Experience teaching or developing courses, workshops, or skilled training in subject matter with an ability to communicate technical concepts to students with varying levels of experience.

Preferred Qualifications: 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 Collective Agreement.

Salary (half course): Minimum $9997.47 as per CUPE 3902 Unit 3 Collective Agreement (includes 4% vacation pay).

Anticipated Enrollment: 20

Application Instructions: Submit your CV along with a completed application form (https://www.utm.utoronto.ca/imi/media/1025/download?inline) to: Simreet Aulakh, Program Coordinator, Master of Urban Innovation, at [email protected]. Include ‘IMI2995H Sessional Lecturer Application’ in the subject line. Kindly note that only complete applications submitted by the deadline will be accepted.

Closing Date: 10/19/2026, 11:59PM EDT

**

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.

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 http://uoft.me/UP.

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].

Job Segment: Analytics, Database, GIS, Urban Planning, Civil Engineer, Technology, Management, Social Sciences, Engineering

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