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Hiring Unit: School of Computer Science Course Title and Course Number Course Number: COMP 189 - Computer and Society Course Number: COMP 202 - Course Title: Foundations of Programming Course Number: COMP 204 - Course Title: Computer Programming for Life Sciences Course Number: COMP 206 - Course Title: Introduction to Software Systems Course Number: COMP 208 - Course Title: Computer Programming for Physical Sciences and Engineering Course Number: COMP 250 - Course Title: Introduction to Computer Science Course Number: COMP 251 - Course Title: Algorithms and Data Structures Course Number: COMP 252 - Course Title: Honours Algorithms and Data Structures Course Number: COMP 273 - Course Title: Intro to Computer Systems Course Number: COMP 302 - Course Title: Programming Languages & Paradigms Course Number: COMP 303 - Course Title: Software Design Course Number: COMP 307 - Course Title: Principles of Web Development Course Number: COMP 308 - Course Title: Computer Systems Lab Course Number: COMP 310 - Course Title: Operating Systems Course Number: COMP 322 - Course Title: Introduction to C++ Course Number: COMP 330 - Course Title: Theory of Computation Course Number: COMP 345 - Course Title: From Natural Language to Data Science Course Number: COMP 360 - Course Title: Algorithm Design Course Number: COMP 361D2 - Course Title: Software Engineering Project Course Number COMP 409 - Course Title: Concurrent Programming Course Number: COMP 417 - Course Title: Introduction Robotics and Intelligent Systems Course Number: COMP 421 - Course Title: Database Systems Course Number: COMP 511 - Course Title: Network Science Course Number: COMP 514 - Course Title: Applied Robotics Course Number: COMP 520 - Course Title: Compiler Design Course Number: COMP 527 - Course Title: Logic and Computation Course Number: COMP 532 - Course Title: Propositional Prove Complexity Course Number: COMP 535- Course Title: Computer Networks 1 Course Number: COMP 540- Course Title: Matrix Computations Course Number: COMP 546- Course Title: Computational Perception Course Number: COMP 550- Course Title: Natural Language Processing Course Number: COMP 551- Course Title: Applied Machine Learning Course Number: COMP 555 - Course Title: Information Privacy Course Number: COMP 558 - Course Title: Fundamentals of Computer Vision Course Number: COMP 559 - Course Title: Fundamentals of Computer Animation Course Number: COMP 579 - Course Title: Reinforcement Learning Course Number: COMP 588 - Course Title: Probabilistic Graphical Models Course Number: COMP 596- Couse Title: Topics in CS: Cloud Computing Course Number: COMP 597- Couse Title: Topics in CS: Systems & Programming 2 Course Number: COMP 599 section 001- Couse Title: Multi-agent Robotics Course Number: COMP 766- Couse Title: Advanced Topics Application 1 Course Number: COMP 767- Couse Title: Advanced Topics Application 2 Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and observe office and/or lab hours; • - develop grading scripts to be used to grade assignments and/or exams; • - grade assignments and exams under the supervision of the instructor; • - monitor the discussion board/emails; • - prepare solution sets for assignments, etc.; • - supervise students during midterm evaluations and/or quizzes; • - use software for plagiarism detection and verify similarities in the students' work; • - be available throughout the examination period; • - photo copy course notes, hand outs, etc.; • - ensure confidentiality regarding course-related matters; • - respect and treat all students equally. Qualifications Required: Positions are for McGill Registered students only. Must have command of the course material and must be able to demonstrate this command to the satisfaction of the course instructor. At the very least, should be capable of doing the homework assigned to the students in the course. Must be willing to interact with students in the lab. Must also have good command English language and must possess good communication skills. Name & Title of Immediate Supervisor: Various Dept. Authorization: M. Blanchette Date: October 1, 2025 NOTES: These positions are open to McGill Registered Graduate students only. Announcements are considered tentative, pending final determination of course offerings and enrolments. McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage 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 engage productively with diverse communities. At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry. McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record. McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and procedures. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca. All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority. Located in one of the world’s great 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.
