TA356443- Winter 2026-CIS*6530 Cyber Threat Intelligence and Adversarial Risk Analysis

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
School of Computer Science
Semester(s) of Assignment(s): 
Winter 2026
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
Yes
Course Details
Course Number: 
CIS*6530
Course Name: 
Cyber Threat Intelligence and Adversarial Risk Analysis
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.
Projected Class Enrolment: 
50
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
Total Number (Load) of Assignment(s) Available: 
1
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Office Hours
Preparation
Student Consultation
Email Correspondence/Monitoring
Conducting Labs/Seminars
Meetings
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 2026 and able to complete in-person responsibilities. • A master's degree in cybersecurity or artificial intelligence, or a closely related discipline. • Proven experience in malware analysis. • Proven experience in adversarial threat modeling. • Familiarity with OllyDbg. • Familiarity with IDA. • Proven expertise in Python programming.
Preferred Qualifications: 
• Previous experience specifically in teaching courses with similar content will be considered an asset. • Related publications within the cybersecurity field will be considered an asset. • Familiarity with thread-fed sharing platforms such as threat connect, threat share, etc.
Days Required and Wages
Days and Times Required: 
See Webadvisor for more details. Must be available to complete TA duties as required until the end of the work period (April 28th, 2026).
Period of the Work Assignment (Start Date and End Date): 
January 2, 2026 to April 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): 
Friday, October 24, 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.

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.