SL356386-Winter 2026-CIS*4720 Image Processing and Vision

Sessional Lecturer Work Assignment
Sessional Lecturer, Unit 2
Academic Unit: 
School of Computer Science
Semester(s) of Assignment(s): 
Winter 2026
Number of Available Work Assignment(s) / Sections: 
1
Level of Work Assignment(s): 
1
Right of First Refusal (RoFR)
A Sessional Lecturer holds a RoFR (i.e., for a particular course) if they have successfully taught the course in the past six (6) semesters. A SL who holds a RoFR to this course is required to exercise their right by way of the online hiring system. Also see: What is Right of First Refusal (RoFR)?
A Sessional Lecturer Currently Holds a Right of First Refusal for this Course: 
No
Course Details
Course Number: 
CIS*4720
Course Name: 
Image Processing and Vision
Course Format: 
In-Person
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
The School of Computer Science is committed to ensuring that our students are provided with a high standard of teaching excellence. Part of this commitment is the distribution of Teaching Assistant resources to course sections in a fair and transparent manner. Resources within the the School of Computer Science will be distributed in a fair manner that takes into consideration: Level of course; Pedagogical requirements of the course including use of seminars, tutorials, and laboratories; Delivery method and requirements (e.g., Distance education vs. in-class course formats); Number of students; Workload considerations (including the overall workload of instructor); Department and College norms; and, Budgetary constraints. It is expected that the number of teaching assistants assigned to courses may vary from offering to offering based on the above factors. Distribution of teaching assistant resources is determined by the Chair/Director. Requests for teaching assistant resources should be made as soon as practicable.
Projected Class Enrolment: 
80
Anticipated Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Preparation
Student Consultation
Lecturing
Email Correspondence/Monitoring
Conducting Labs/Seminars
TA Coordination Meetings
Invigilating Exams
Grading
Qualifications
Required Qualifications
Degree: 
Masters related to field
Other
Masters degree in Computer Science or related field.
Prior Teaching Experience: 
Other
Previous experience teaching computer science topics at the post-secondary level.
Required competence, capability, skill and ability related to course content: 
*Successful completion, with very good standing, of a similar course, and an advanced, demonstrated knowledge of the subject areas and the corresponding technical concepts. *Excellent oral and written communication skills. *Ability to communicate advanced computer science concepts to students effectively, both in written form and verbally. *Demonstrated expertise and in-depth knowledge of the course materials, including: image representation; fundamental image processing algorithms (including convolution, low/high-pass filtering, histogram equalization, interpolation, point / line / edge detection, global and local thresholding and others); image segmentation, object detection and classification; fundamentals of computer vision; and performance evaluation in image processing and computer vision.
Preferred Qualifications
Degree: 
PhD related to field
PhD and expert in course content
Prior Teaching Experience: 
Other
Successful teaching imaging topics at a post-secondary level.
Specific Preferred competence, capability, skill and ability related to course content: 
*Strong organizational, communication, and interpersonal skills. *Applying image processing and computer vision techniques to solve practical problems. *Design and extend algorithms for image processing and computer vision based on existing research.
Days Required and Wages
Days and Times Required: 
Lectures are Tuesdays and Thursdays from 2:30pm to 3:50pm.
Period of the Work Agreement (Start Date and End Date): 
January 2, 2026 to April 28, 2026
Wages (per semester, per full-load): 
minimum $8,838.51 (effective 2025/26)
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Tuesday, November 4, 2025
Posting Email Contact: 
socspost@uoguelph.ca
Hiring Contact Information: 
Lauren King, Instructional Support Coordinator - teachingsupport@socs.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.
SL work assignments are unionized with CUPE3913 and their terms and conditions of work are covered by the Unit 2 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).

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.