Teaching Assistants, Winter 2027, Electrical & Computer Engineering
- McConnell Eng. Bldg., Canada
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Teaching Assistant Positions in the Department of Electrical & Computer Engineering for the Winter 2027 semester. These positions are open to McGill University Graduate students only. This position requires in-person work and is located in the city of Montreal. You are expected to have an address in the province of Quebec.
Hiring Unit:
Electrical & Computer Engineering
Application Deadline:
November 02, 2026 at 11:59 p.m.
Effective Dates of Appointment:
January 05 to April 30, 2027
For detailed information on each position, please refer to the job posting list found on the ECE website at https://www.mcgill.ca/ece/employment/positions (Please copy and paste link). Please indicate your course preference in the comments.
*IMPORTANT: Candidates not currently employed by McGill must use a personal email when creating an account to submit their application. Do not use @mail.mcgill.ca or @mcgill.ca accounts for this. *
Candidates currently employed by McGill may apply directly through the Career icon in their Workday profile.
Course Title, Course Number and Prof's Name:
ECSE 200: Electric Circuits 1; Marwan Kanaan
ECSE 205: Probability and Statistics for Engineers; TBA
ECSE 206: Introduction to Signals and Systems; TBA
ECSE 209: Electrotechnology; Roufaida Bensalem ECSE 210: Electric Circuits 2; Songrui Zhao
ECSE 211: Design Principles and Methods; Marwan Kanaan / Katrina Poulin
ECSE 222: Digital Logic; Roufaida Bensalem
ECSE 223: Model-based Programming; Katrina Poulin
ECSE 250: Fundamentals of Software Development; Katrina Poulin
ECSE 251: Electric and Magnetic Fields; TBA
ECSE 308: Introduction to Communication Systems and Networks; Benoit Champagne
ECSE 310: Thermodynamics of Computing; Andrew Kirk
ECSE 321: Introduction to Software Engineering; Lili Wei
ECSE 324: Computer Organization; Christiphe Dubach
ECSE 325: Digital Systems; TBA
ECSE 331: Electronics; Marwan Kanaan
ECSE 343: Numerical Methods of Engineering; TBA
ECSE 353: Electromagnetic Fields & Waves; Benoit Champagne
ECSE 354: Electromagnetic Wave Propagation; Milica Popovich
ECSE 362: Fundamentals of Power Engineering; Francois Bouffard
ECSE 403: Control; Peter E. Caines
ECSE 415: Introduction to Computer Vision; Tal Arbel
ECSE 416: Telecommunications Networks; Tho Le-Ngoc ECSE 421: Embedded Systems.; Jeremy Cooperstock
ECSE 423: Fundamentals of Photonics - x-listed with ECSE 527; Andrew Kirk
ECSE 425: Computer Architecture; Brett Meyer
ECSE 427: Operating Systems - x-listed with COMP 310; CS-TBA
ECSE 428: Software Engineering Practice; TBA
ECSE 433: Phys Basis of Trans Devices; Thomas Szkopek
ECSE 444: Microprocessors; Zeljko Zilic
ECSE 461: Electric Machinery; Xiaozhe Wang
ECSE 515: Optical Fibre Communications; David Plant
ECSE 551: Machine Learning for Engineers; Narges Armanfard
ECSE 552: Deep Learning; Amin Emad
ECSE 596: Optical Waveguides; Odile Liboiron-Ladouceur
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.
More about this job
Responsibilities
Teaching assistants will support faculty members in various Electrical and Computer Engineering courses during the Winter 2027 semester. Responsibilities include assisting with course delivery, grading, and providing academic support to students.
Requirements
Applicants must be currently enrolled as graduate students at McGill University. The position requires in-person attendance in Montreal and residency in the province of Quebec.
Skills
- Electrical Engineering
- Computer Engineering
- Teaching
- Academic Support
- Circuit Analysis
- Software Development
- Digital Logic
- Signal Processing
- Machine Learning
- Embedded Systems
- Computer Architecture
- Telecommunications
- Numerical Methods
- Electromagnetics
- Thermodynamics
Visa sponsorship
Not detected in the job text
Categories
- Education
- Engineering
- Technology
- Science & Research
Keywords
- Electrical Engineering
- Computer Engineering
- Teaching Assistant
- McGill University
- Higher Education
- Electric Circuits
- Probability
- Statistics
- Signals and Systems
- Electrotechnology
- Digital Logic
- Software Development
- Communication Systems
- Thermodynamics
- Computer Organization
- Electronics
- Numerical Methods
- Electromagnetic Fields
- Power Engineering
- Control Systems
- Computer Vision
- Telecommunications Networks
- Embedded Systems
- Photonics
- Computer Architecture
- Operating Systems
- Software Engineering
- Microprocessors
- Machine Learning
- Deep Learning