At a Glance
- Tasks: Assist in teaching, conducting labs, and grading for the Modelling Complex Systems course.
- Company: University of Guelph, a diverse and inclusive academic institution.
- Benefits: Gain teaching experience, develop communication skills, and earn competitive wages.
- Other info: Join a supportive community with opportunities for professional growth.
- Why this job: Make a difference in students' learning while enhancing your own expertise in engineering.
- Qualifications: Completed relevant courses and possess strong skills in Python and algorithms.
The predicted salary is between 13.5 - 16.5 $ per hour.
Teaching Assistant Work Assignment
Type of Work Assignment and Bargaining Unit: GTA, Unit 1
Academic Unit: School of Engineering
Semester(s) of Assignment(s): Winter 2027
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: Some
Course Number: ENGG*3130
Course Format: In-Class
Course Description: See Course Calendar
Other Course Description or Assignment Information: Applicants may be invited to an interview. Applicants are encouraged to provide contact information for at least two references as additional evidence of subject area knowledge, teaching effectiveness, and other qualifications.
The University of Guelph has vaccination and masking policies that may be altered with limited notice depending on COVID-19 circumstances and advice from government, public health authorities, and prevailing science. Currently, the vaccination and masking policies are paused but may resume with little advance notice to address the health risks. Should this occur, vaccinations will be required. You can choose to submit proof of vaccination before your start date. The University of Guelph has a COVID-19 Vaccination Policy and provides more information about COVID-19 for Faculty and Staff.
Level of Appointment for GTA, GSA-1 UTA(s): The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: Yes
Number of Available 0.25 (35 hour) Work Assignments: 0
Number of Available 0.5 (70 hour) Work Assignments: 1+
Number of Available 0.75 (105 hour) Work Assignments: 0
Number of Available Full 1.0 (140 hour) Work Assignments: 0
Total Number (Load) of Assignment(s) Available: 1
Duties and Responsibilities:
- Orientation-Training
- Office Hours
- Student Consultation
- Conducting Labs/Seminars
- Meetings
- Invigilating Exams
- Grading
Required Qualifications: The successful candidate will have:
- Successfully completed this course or one similar
- Successfully completed a course in Algorithms and Complexity analysis
- Excellent interpersonal, communication, and organizational skills
- An enthusiastic and professional attitude towards teaching
- Demonstrated competence in Python and Revision control using Git
Preferred Qualifications: Candidates meeting the required qualifications will be evaluated on the following criteria:
- Subject matter expertise including computational modelling, scientific Python stack (Numpy, Scipy, Matplotlib), graph analysis, data analysis
- Software development experience in industry or contributions to open source projects
- Interpersonal, communication, and organizational skills
- Teaching experience
- Teaching effectiveness
Days Required and Wages:
Days and Times Required: Check webadvisor for lab times so there is no conflict before applying.
Period of the Work Assignment (Start Date and End Date): January 7, 2027 to May 7, 2027
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): Other
Application Deadline: Sunday, November 8, 2026
At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.
All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.
Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913.
The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.
Modelling Complex Systems employer: University of Guelph
The University of Guelph is an exceptional employer that prioritizes academic excellence and inclusivity, making it a rewarding place for professionals in the field of education. With a strong commitment to employee growth, the university offers numerous opportunities for professional development and collaboration within a supportive work culture. Located in a vibrant community, employees benefit from a dynamic environment that fosters innovation and strategic planning in curriculum development.
