Course Lecturer (MGSC 696 075)

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Advanced Topics in Management Science 2 For Topic: Optimization for Data ScienceMGSC 696 075
Tuesdays and Thursdays 18h05 - 19h25Start Date: March 8, 2027End Date: April 30, 2027CL Credits: 1.5Number of Class Hours: 19.5Remuneration: $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 academicaffairs.mgmt@mcgill.ca
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, accessibilityrequest.hr@mcgill.ca.