Job Description

Date Posted: 06/03/2025
Req ID: 43206
Faculty/Division: Faculty of Arts & Science
Department: Ctr for Industrial Relations
Campus: St. George (Downtown Toronto)
Description:
Course Number and Title: IRE2004HS - Data Analytics and Metrics for IR and HR
Course Description: This course is designed for students who have already completed an introductory statistics course and are ready to apply foundational statistical concepts to practical problems in human resource management and industrial relations. Emphasizing application over theory, the course covers techniques such as descriptive analysis, hypothesis testing, ANOVA, and multivariate regression within the context of HR functions including employee selection, compensation, and labor relations. Students will use R software to analyze HR data, assess policy effectiveness, and develop data-informed recommendations. The course highlights the importance of selecting appropriate analytical methods and recognizing common pitfalls in statistical reasoning.
Estimated Course Enrolment: 2 sections of 40-50 students each.
Estimated TA Support: approx. total 140 TA hrs for both sections.
Schedule: Tuesday, 15:00 - 17:00 and Tuesday, 18:00-20:00.
Sessional Dates of Appointment: January 1 - April 30, 2026
Salary:
Salary (inclusive of vacation pay):
Sessional Lecturer I = $9820.70
Sessional Lecturer I - Long Term = $10,510.04
Sessional Lecturer II = $10,510.04
Sessional Lecturer II - Long Term = $10,760.28
Sessional Lecturer III = $10,760.28
Sessional Lecturer III - Long Term = $11,030.36
Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement should prevail.
Minimum Qualifications:
Completed PhD in Industrial Relations, Human Resources, or a related discipline; or a combination of advanced degrees (e.g., MIRHR, MBA, LLB in an applicable area) and equivalent professional experience. Expert knowledge of the subject area is required. Familiarity with the use of R software for statistical analysis is also essential.
Preferred Qualifications:
Expert knowledge of subject area and demonstrated ability in university teaching. Previous experience in teaching a similar course is preferred.
Description of Duties: Prepare a course syllabus in accordance with departmental guidelines. Prepare and deliver lectures (12 two-hour classes); be available for office hours and informal communications with students. Assess and evaluate students' work and provide final course grades in accordance with University and Department practices.
Closing Date: June 25, 2025
Application Instructions:
Applicants must submit an updated curriculum vitae, evidence of teaching in the relevant area (including student evaluations, if available), and the CUPE 3902 Unit 3 application form located here: to:
Tanya Pitel,
CIRHR Program Assistant
Centre for Industrial Relations and Human Resources
University of Toronto
121 St. George Street, Toronto, ON M5S 2E8
Email:
Applications must be emailed directly to and should not be submitted through this website.
Closing Date: 06/25/2025, 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 .
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 . '