Introduction to Intelligent Systems

University of Guelph; Guelph; On-site; CAD 25,000 - 36,000; Full time

Job summary

The University of Guelph invites applications for Teaching Assistant work assignments in Winter 2027 for CIS*3700 Introduction to Intelligent Systems. Positions include GTA/GSA-1/UTA roles in the School of Computer Science, with in-person duties and a guaranteed Job Security Period.

Responsibilities include orientation, office hours, preparation, student consultation, labs, meetings, invigilating exams, and grading; AI knowledge and strong Python skills are required; applicants must be enrolled

Qualifications

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
• Excellent writing skills and ability to critique student assignments in writing.
• Ability to communicate computer science concepts clearly, both in writing and verbally.
• Must be available to support scheduled lab hours throughout the entire semester.
• Demonstrated knowledge on artificial intelligence and intelligent systems.
• Strong Python programming skills.

Responsibilities

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Grading

Skills

Python programming

Strong writing skills

Communication of CS concepts

Grading

Time management

AI knowledge

Job description

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400711- Winter 2027-CIS*3700 Introduction to Intelligent Systems

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit

GTA, Unit 1

Academic Unit

School of Computer Science

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

Yes

Course Number

CIS*3700

Course Name

Introduction to Intelligent Systems

Course Format

In-Person

Course Description

See Course Calendar

Other Course Description or Assignment Information

The total number of assignments is a low estimate of the number of available appointments. The final number may be higher and it will depend on class enrolment at the time of assignment.

200

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

0

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
• Meetings
• Invigilating Exams
• Grading

Other Duties Described

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

Qualifications

Required Qualifications

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
• Must have excellent writing skills and be able to effectively critique (in writing) student assignments.
• The ability to communicate computer science concepts to students effectively, both in written form and verbally.
• Must be available to support scheduled lab hours throughout the entire semester.
• Demonstrated knowledge on artificial intelligence and intelligent systems.
• Strong Python programming skills.
• Ability to grade written assignments according to a specified rubric.
• Strong organizational and time management skills.

Preferred Qualifications

• Previous successful TA experience supporting CIS*3700.
• Demonstrated knowledge of CIS*3700 subject area through course development or taking a similar undergraduate or graduate course. This includes search tree and heuristic search, decision tree learning, regression and artificial neural networks.

Days Required and Wages

Days and Times Required

See duties and qualifications above, as well as WebAdvisor for lecture and lab days and times. Must be available to complete TA duties as required until the end of the work period (May 7th, 2027).

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)

Thursday, November 12, 2026

Hiring Contact Information

Instructional Support Coordinator - [e-mail]

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: [e-mail]).

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