M
McGill UniversityVerified employer
School of Computer Science Course Lecturer COMP 579 - 50% Winter 2027
Canada
On-sitePart-timeMid level
Apply on McGill University's site ↗
You apply directly with the employer. We never charge applicants.
Canada
You apply directly with the employer. We never charge applicants.
Shawinigan, Canada
Roxboro, Canada
Sainte-Adèle, Canada
Rimouski, Canada
Rimouski, Canada
Pay not published. Too few similar jobs show pay for a fair estimate.
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).
POSTING DATE: October 01, 2026
Applications for this course will be accepted until OCTOBER 14, 2026
Course Title COMP 579 Reinforcement Learning
Term Winter 2027
Credit 4 Credits
Location Downtown Campus
Schedule TR
TEACHING QUALIFICATION REQUIREMENTS:
Experience
Experience in the following area: Reinforcement learning; probabilistic approaches in machine learning; mathematical foundations of machine learning. Previous experience as an instructor at the university-level is required. Related work experience will be taken into consideration.
Education
Master's or PhD Degree in related field
OTHER
Excellent English and communication skills.
Salary $7,883
Note:
This position is located in Montreal, Quebec and you are expected to perform the work for this position in Quebec.
Article 13.07 : The Hiring Unit may convert the degree requirement into equivalent education and experience
Hiring Unit:
Course Title:
Subject Code:
Location:
Schedule:
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, accessibilityrequest.hr@mcgill.ca.