TA343265- Fall 2025-AGR*2470 Intro to Plant Agriculture

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
Plant Agriculture
Semester(s) of Assignment(s): 
Fall 2025
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: 
AGR*2470
Course Name: 
Intro to Plant Agriculture
Course Format: 
In-Person
Course Description: 
See Course Calendar
Projected Class Enrolment: 
150
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: 
0
Number of Available 0.75 (105 hour) Work Assignments: 
3
Number of Available Full 1.0 (140 hour) Work Assignments: 
0
Total Number (Load) of Assignment(s) Available: 
3
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Preparation
Student Consultation
Email Correspondence/Monitoring
Conducting Labs/Seminars
Meetings
Grading
Other Duties (specify below)
Other Duties Described: 
Lab preparation; conducting labs/seminars for two lab sections; grading lab assignments and semester projects; responding to student inquiries by email and in person outside of the lab period; lab preparatory meetings with the lab coordinator. Lecture attendance is not mandatory but recommended if further background in agronomic principles and practices and crop physiology is required.
Qualifications
Required Qualifications: 
Undergraduate degree in plant sciences or a related field. Evidence of excellent writing and communication skills.
Preferred Qualifications: 
Knowledge of agronomic principles and practices. Knowledge of crop physiology, including plant interactions with the abiotic environment. Knowledge of plant development and phenology, including measurements of plant growth and development.
Days Required and Wages
Days and Times Required: 
Laboratory/Seminars: M 2:30 PM - 5:20 PM T 8:30 AM - 11:20 AM T 2:30 PM - 5:20 PM W 2:30 PM - 5:20 PM Th 8:30 AM - 11:20 AM F 2:30 PM - 5:20 PM
Period of the Work Assignment (Start Date and End Date): 
September 4, 2025 to December 19, 2025
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, August 7, 2025
Posting Email Contact: 
papost@uoguelph.ca
Hiring Contact Information: 
Dr. Katerina Jordan is one of the instructors for this course Graduate Teaching Assistant (GTA) Hiring Process: https://www.plant.uoguelph.ca/sites/default/files/documents/Plant%20Ag%20-%20GTA%20Hiring%20Process.2019.08.23.pdf

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.