Sessional Lecturer Assistant - PPG1004H-F Quantitative Methods for Policy Analysis
Toronto, ON, Canada
CAD 55.25-55.25 / hour
Sessional Lecturer Assistant - PPG1004H-F Quantitative Methods for Policy Analysis
Date Posted: 06/08/2026
Req ID: 48485
Faculty/Division: Faculty of Arts & Science
Department: Munk School of Global Affairs & Public Policy
Campus: St. George (Downtown Toronto)
Description:
Course number and title: PPG1004H-F Quantitative Methods for Policy Analysis
Course description:
The central objective of this course is to equip students with the tools necessary to tackle issues that involve the empirical analysis of public policy problems of the sort they might encounter in a professional environment. The course will cover probability theory and statistics, with a focus on the sensible application of methods to deal with empirical problems using appropriate data.
The course is designed with twin objectives in mind. The first is to provide students with the ability to analyze critically the empirical analysis done by others at a level sufficient to make intelligent decisions about how to use that analysis in the design of public policy. The second is to provide students with the skills necessary to perform empirical policy analysis on their own or to participate on a team involved in such an empirical analysis.
Estimated course enrolment: 120 students
Class schedule: Mondays 2-5pm
*The delivery method for this course is expected to be in-person. Please note that, in keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department.
Sessional dates of appointment: September 1, 2026 - December 31, 2026
Please note: This position includes the completion of any course work and marking not finished by Dec. 31, 2026.
Salary: Sessional Lecturer Assistant - $55.25/ hour (plus 4% vacation pay)
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.
Qualifications: Graduate degree (MA preferred) in Public Policy required, with specialization in quantiative and economic policy. Extensive professional policy practitioner experience required. Teaching experience at the graduate level required.
Description of duties: Teaching Assistant at the graduate level, developing the syllabus and key deliverable pieces with support from instructor, leading Unit 1 TAs, providing weekly office hours for academic counselling of students, preparing and delivering course material with support from the course instructor, preparing and delivering assignments and tests with support from the course instructor, marking student work and submitting grades.
Application procedure: All individuals interested in this position must submit an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form (https://uthrprod.service-now.com/sys_attachment.do?sys_id=be703ae12b803ad038a7f1ffbe91bf0b) to p.jory@utoronto.ca.
Closing Date: 06/19/2026, 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
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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 uoft.careers@utoronto.ca.
Job Segment: Public Policy, Quantitative Analyst, Government, Legal, Data