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Hiring Unit: School of Computer Science
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 273 - Course Title: Introduction to Computer Systems
Course Number: COMP 302 - Course Title: Programming Languages & Paradigms
Course Number: COMP 303 - Course Title: Software Design
Course Number: COMP 310 - Course Title: Operating Systems
Course Number: COMP 321 - Course Title: Programming Challenges
Course Number: COMP 330 - Course Title: Theory of Computation
Course Number: COMP 350 - Course Title: Numerical Computing
Course Number: COMP 360 - Course Title: Algorithm Design
Course Number: COMP 361D1 - Course Title: Software Engineering Project
Course Number: COMP 362 - Course Title: Honours Algorithm Design
Course Number: COMP 370 - Course Title: Introduction to Data Science
Course Number: COMP 424 - Artificial Intelligence
Course Number: COMP 445 - Computational Linguistics
Course Number: COMP 462 - Course Title: Computational Biology Methods
Course Number: COMP 512 - Course Title: Distributed Systems
Course Number: COMP 521 - Course Title: Modern Computer Games
Course Number: COMP 523 - Course Title: Language-based Security
Course Number: COMP 547 - Course Title: Cryptography and Data Security
Course Number: COMP 551- Course Title: Applied Machine Learning
Course Number: COMP 557 - Course Title: Fundamentals of Computer Graphics
Course Number: COMP 565 - Course Title: ML in Genomics and Healthcare
Course Number: COMP 599 - Topics in CS: Applications 2
Course Number: COMP 765 - Advanced Topics Systems 2
Course Number: COMP 766 - Advanced Topics Application 1
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;
- 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, handouts, etc.;
- ensure confidentiality regarding course-related matters;
- respect and treat all students equally.
Qualifications Required:
Positions are for McGill registered graduate students only.
Must have a good understanding of the course material.
Must be willing to interact with students in the class/lab.
Must have good command of the English language and possess good communication skills.
NOTES:
- These positions are open to McGill registered graduate students only.
- 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.
- 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, [email protected].
All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.
