TA383732- Fall 2026-BUS*6590*EL01 Organizational Theory and Design

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
LANG Executive Programs
Semester(s) of Assignment(s): 
Fall 2026
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
N/A
Course Details
Course Number: 
BUS*6590*EL01
Course Name: 
Organizational Theory and Design
Course Format: 
Other
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
Course begins 26-Oct-26 and runs online for 7 weeks, with the course ending on 13-Dec-26; with grades requiring submission no later than by 28-Dec-26 to Lang Grad Programs.
Projected Class Enrolment: 
60
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: 
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
Grader Assignment(s)
Note: See the WAGE RATE below which determines whether this work assignment is posted for graduate or undergraduate candidate(s).
Anticipated # of Available Grader Work Assignment(s): 
0
Anticipated # hours per Grader Work Assignment(s): 
0
Total Number (Load) of Assignment(s) Available: 
1
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Preparation
Student Consultation
Email Correspondence/Monitoring
Meetings
Grading
Other Duties (specify below)
Other Duties Described: 
Course begins 26-Oct-26 and runs online for 7 weeks, with the course ending on 13-Dec-26; with grades requiring submission no later than by 28-Dec-26 to Lang Grad Programs.
Qualifications
Required Qualifications: 
PhD students Successful prior experience GTA'ing Professional Programs courses
Preferred Qualifications: 
Prefer candidates with an interest or background in business sustainability and SDGs, and strong communication skills. Online facilitation and team management experience preferred.
Days Required and Wages
Days and Times Required: 
Course begins 26-Oct-26 and runs online for 7 weeks, with the course ending on 13-Dec-26; with grades requiring submission no later than by 28-Dec-26 to Lang Grad Programs.
Period of the Work Assignment (Start Date and End Date): 
October 26, 2026 to December 28, 2026
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $49.43/hr; $6,924.98/semester effective 2025/26
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Thursday, July 30, 2026
Posting Email Contact: 
execpost@uoguelph.ca
Hiring Contact Information: 
Dr. Rumina Dhalla, rdhalla@uoguelph.ca

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: president@cupe3913.on.ca).

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