2026 Spring | SL | RSM8430H L0101 (Jan - Apr) | Applications of Large Language Models

University of Toronto; Toronto; Hybrid; CAD 60,000 - 80,000; Part time

Job summary

A leading educational institution in Toronto seeks an instructor with a PhD to teach a course on large language models and generative AI. Responsibilities include course design, delivery, and supervision of teaching assistants. Ideal candidates will have relevant teaching and industry experience. The position may require online and in-person teaching. This role is part of the School of Management from January 1 to April 30, 2026.

Benefits

Diversity commitment

Inclusive community

Professional development opportunities

Qualifications

• PhD required in Operations Management, Management Science, Statistics, or related discipline.
• Previous teaching experience in a similar course is highly desirable.
• Preference for candidates with industry experience related to the course.

Responsibilities

• Design and administer the university credit course.
• Supervise teaching assistants and develop course materials.
• Calculate and submit grades to university officials.

Skills

Teaching

Subject Matter Expertise in Operations Management

Experience with AI and LLMs

Education

PhD in Operations Management or related discipline

Job description

Date Posted: Oct. 2, 2025

Faculty/Division: School of Management

Department: School of Management

Campus: St. George (Downtown)

Description: This course is an intensive, application-driven exploration of large language models (LLMs) and generative AI. Students will gain practical skills for developing, deploying, and integrating LLMs into real-world systems, moving beyond theory to hands-on problem solving and project-based learning. The curriculum covers prompt engineering, advanced usage techniques, retrieval-augmented generation (RAG) with vector databases, agentic systems, and state-of-the-art adaptation methods such as parameter-efficient fine-tuning (PEFT). Students will work with industry-standard tools for building, customizing, and evaluating AI-powered applications, including using LLMs for coding, constructing retrieval pipelines, and deploying autonomous agents.

Position Description: 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; development, administration and marking of assignments, tests and examinations; calculation and submission of grades to university officials; holding regular student office hours and maintaining reasonable availability for student contact.

Qualification: PhD in Operations Management, Management Science, Statistics, or related discipline is required. Previous experience teaching in a similar course is highly desirable. Preference will be given to those with teaching experience and industry experience directly related to the course.

Class Schedule: Courses may be online or in-person, depending on circumstances, so candidates must be available and comfortable with both.

Sessional Dates of Appointment: January 1 - April 30, 2026

Notes: The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

EEO Statement: The University of Toronto invites all qualified applicants to make application. The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members.

Application Procedure: For detailed information on the application procedure go to www-2.rotman.utoronto.ca/employment/tapositions. Applications for EACH course must be accompanied by a current resume and application form.