Course Lecturer (MGSC 696 075)

McGill University; Montreal; On-site; CAD 5,000 - 6,800; Part time

Benefits offered by this job

Remuneration

Job summary

McGill University is seeking a Course Lecturer for MGSC 696 075 in Winter 2027. The part-time position involves teaching Advanced Topics in Management Science 2 with a focus on Optimization for Data Science, starting March 8, 2027 and ending April 30, 2027.

Remuneration is provided for the term, and applications must be submitted by 2026-10-20. Qualified candidates hold a PhD or Master’s in a quantitative field and have teaching or industry experience in optimization, machine learning, or data

Qualifications

• PhD (or equivalent) or Master's in Operations Research, Management Science, Applied Mathematics, Computer Science, Data Science, or related quantitative field.
• Experience in optimization, mathematical programming, machine learning, or data science, or related research publications.
• University teaching experience.

Responsibilities

• Teach Advanced Topics in Management Science 2: Optimization for Data Science.
• Deliver course materials, assignments and assessments.
• Participate in faculty duties related to course delivery.

Skills

Optimization

Data Science

Machine Learning

Mathematical Programming

Operations Research

Education

PhD or Master's in Quantitative Field

Job description

## Course Lecturer (MGSC 696 075)Apply: Bronfman Building: Part time: Posted Today: End Date: October 21, 2026 (4 days left to apply): JR0000081932**Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.****If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).**# **Advanced Topics in Management Science 2**# **For Topic: Optimization for Data Science**# **MGSC 696 075**## Tuesdays and Thursdays 18h05 - 19h25## **Start Date: March 8, 2027**## **End Date: April 30, 2027**## **CL Credits: 1.5**## **Number of Class Hours: 19.5**## **Remuneration: $5,912.00** ## **Deadline to apply: October 20 at 11:59 pm** The Desautels Faculty of Management is inviting applications to teach a course in Winter 2027. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. **Teaching Qualification Requirements:**Education:PhD (or its equivalent), or Master's degree in Operations Research, Management Science, Applied Mathematics, Computer Science, Data Science, or a related quantitative field. Experience:Relevant teaching and/or industry experience in optimization, mathematical programming, machine learning, or data science, or related research publications in these areas. Other:University teaching experience.**Location**TBA For any questions, please contact [e-mail] Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.**Hiring Unit:**Desautels Faculty of Management - Operations Management Area**Course Title:**Advanced Topics in Management Science 2 For Topic: Optimization for Data Science**Subject Code:**MGSC 696 075**Location:**ARMST 260**Schedule:**Wednesdays 14h35 - 17h25**Deadline to Apply:**2026-10-20***McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [e-mail].***