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School of Computer Science Course Lecturer COMP 579 - 50% Winter 2027

Mcgill

·

Today

Location
McConnell Eng. Bldg., Canada
Type
Part-time
Department
Education
Education
PhD
Closing date
Today
Source
Workday

Description

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:

School of Computer Science

Course Title:

Reinforcement Learning

Subject Code:

COMP 579

Location:

DT

Schedule:

TR

Deadline to Apply:

2026-10-14

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, [email protected].

Skills

Machine LearningWorkday

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School of Computer Science Course Lecturer COMP 579 - 50% Winter 2027 at Mcgill | Hiring.Camp