Sessional Lecturer, INF- Online Information Retrieval

Position

Sessional Lecturer, INF
1325H – Online Information Retrieval, Summer Term 2026 – Session F (May – June).

This course focuses on the principles and methods of information retrieval through academic and professional database searching. Characteristics of database organization, structure, and content, question analysis, search development and translation, and database selection are investigated. Will include a critical examination of major vendors and their systems. Emerging themes and issues relating to online information retrieval will be addressed.

Note:

Weekly in‑class activities require use of a laptop.

Estimated enrollment: 35. TA support:
None anticipated unless enrollment ≥ 36, estimate of 75 hours.

TBD. Must be located in close proximity to University premises to attend and perform duties as of the starting date.

May 1, 2026 – June 31, 2026.

Sessional Lecturer I: $10,696. Sessional Lecturer I Long Term: $11,445. Sessional Lecturer II: $11,445. Sessional Lecturer II Long Term: $11,713. Sessional Lecturer III: $11,713. Sessional Lecturer III Long Term: $11,986.

Preferably completed or nearly completed PhD in a related area or a Master’s plus extensive professional experience. Teaching experience preferred.

• Preparing course materials
• Delivering course content (seminars, lectures, labs)
• Developing and administering assignments, tests & exams
• Grading
• Holding regular office hours

Feb. 9, 2026.

Submit a CV and a completed CUPE 3902 Unit 3 application form in one PDF file to the attention of Nafiseh Yazdian, Administrative Coordinator, Faculty of Information, 140 St. George Street, University of Toronto. Email: s

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III per Article 14:12.

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 (Use the "Apply for this Job" box below)..

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. 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.

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Job Segment: Database, Technology.