Course Title COMP 579 Reinforcement Learning Term Winter 2027 Credit 4 Credits Location Downtown Campus Schedule TRTeaching Qualification RequirementsExperience 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.EducationMaster's or PhD Degree in related fieldOtherExcellent English and communication skills.Salary $7,883Note: 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 experienceHiring Unit: School of Computer ScienceCourse Title: Reinforcement LearningSubject Code: COMP 579Location: DTSchedule: TRDeadline to Apply: 2026-10-14McGill 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] in one of the world's excellent multicultural and multilingual cities, McGill University is internationally recognized for its excellence as a leading institution of higher education and research. For nearly 200 years, through the work of dedicated people, McGill has been breaking ground in diverse fields and contributing solutions to some of the world's most significant issues. McGillians are proud to be part of a community that is both global and local, inspired by challenge and committed to shaping a better future.McGill received a Platinum STARS rating in sustainability, is among Canada's greenest employers, and is a top Montreal Employer. Grandescunt Aucta Labore. By work, all things increase and grow. Find a sense of purpose. Develop your future. Join us today.

📌 School Of Computer Science Course Lecturer Comp 579 - 50% Winter 2027 (Montreal)
🏢 McGill University
📍 Montreal