Course Lecturer (MGSC 696 076) - Optimization for Data Science

Advanced Topics in Management Science 2

For Topic: Optimization for Data Science

MGSC 696 076

Tuesdays & Thursdays 19h35 - 20h55

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

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

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 696 076

Location:

ARMST 265

Schedule:

Tuesdays & Thursdays 19h35 - 20h55

Deadline to Apply:

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,