Teaching Assistant,Department of Electrical and Computer Engineering Job Saskatoon area,Saskatchewan Canada,Engineering

Teaching Assistant, Department of Electrical and Computer Engineering

Your general location of work will be the College of Engineering and you will report to the instructor(s) responsible for the course. You must be able to be physically present for the duration of the semester.

In the appointment of Teaching Assistant, your general duties and responsibilities will be assigned by the Instructor(s) and may include one or more of the following:

Marking assignments;

Marking laboratory logbooks and/or reports;

Marking quizzes and/or exams;

Holding tutorials and/or staffing a Help Desk for students;

Assisting with general administration of the course such as email communications with students regarding assignments, and recording grades

Demonstrating and/or assisting with the demonstration of laboratories;

Monitoring safety in the laboratory in cooperation with the instructor(s);

Invigilating examinations;

Collecting information for continuous program improvement;

Other duties related to the course deemed appropriate by the Instructor(s)

Required Number of Hours
:
Varies
Duration of Employment
: 2026-27 Regular
Course Name, Abbreviation and Number: Various
Start and End Dates: September 1 to December 31 (with some variation depending on the specific assignment)

Qualifications (

Skills and Abilities

)
Current student, in good standing, enrolled in the College of Engineering or Engineering Physics. English language proficiency, both written and oral is required. Preference will be given to graduate students and to individuals with previous experience as a Teaching Assistant or instructor.

PSAC hiring guidelines will be adhered to. Undergraduate students may be considered.

These positions are associated with the following courses:

EE205

Safety and Stewardship in Electrical and Computer Engineering

EE232

Digital Electronics

EE265

Discrete Time Signals and Systems

EE301

Electricity Magnetism and Fields

EE321

Advanced Analog Electronics and Instrumentation

EE341

Electric Machines Fundamentals

EE343

Power Electronics

EE441

Power Systems Analysis

EE442

Power Systems Operation and Control

EE362

Digital Signal Processing

EE367

Mobile Robotics I

EE456

Digital Communication

EE461

Digital Filter Design

EE467

Computer Vision

EE301

Electricity Magnetism and Fields

EE321

Advanced Analog Electronics and Instrumentation

EE473

Electronic Devices

EE471

Introduction to Micro and Nanotechnology

EE469

Mobile Robotics II

CME
331

Microprocessor Based Embedded Systems

CME 341

Logic Design Using FPGAs

CME
433

Digital Systems Architecture

CME
435

Verification of Digital Systems

CME
465

Embedded Machine Learning

GE 112

Engineering Discipline Experience