for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

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*4250

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 a 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.

20

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

No

Number of Available 0.25 (35 hour) Work Assignments

Number of Available 0.5 (70 hour) Work Assignments

Number of Available 0.75 (105 hour) Work Assignments

Number of Available Full 1.0 (140 hour) Work Assignments

1

Total Number (Load) of Assignment(s) Available

1

Duties and Responsibilities

Anticipated Duties and Responsibilities

Orientation-Training

Office Hours

Preparation

Student Consultation

Conducting Labs/Seminars

Invigilating Exams

Grading

Qualifications

Required Qualifications

The successful candidate will have:

- Successfully completed this course or one similar
- Excellent interpersonal, communication, and organizational skills
- An enthusiastic and qualified attitude towards teaching

Preferred Qualifications

Candidates meeting the required qualifications will be evaluated on the following criteria:

- Subject matter expertise
- Interpersonal, communication, and organizational skills
- Teaching experience
- Teaching effectiveness

Days Required and Wages

Days and Times Required

Please see webadvisor for lab times to ensure there is no conflict before applying to this position.





Period of the Work Assignment (Start Date and End Date)

January 7, 2027 to May 7, 2027

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day)

Tuesday, October 20, 2026

Hiring Contact Information

Paula NewtonTHRN 1406

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 (email contact: [email protected] ).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

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