for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA - Winter 2027-CIS*6520 Digital Forensics and Incident Response

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*6520

Course Name:

Digital Forensics and Incident Response

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.

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:

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:

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.
- Ability to support hands-on laboratory exercises, troubleshoot technical issues, and grade assignments.
- The ability to communicate computer security concepts to students effectively, both in written form and verbally.
- Strong background in computer science, cybersecurity, digital forensics, or a related field.
- Solid understanding of digital forensic principles, including evidence acquisition, preservation, analysis, and documentation.
- Positive knowledge of Windows and Linux operating systems, file systems, and computer networking.
- Familiarity with Linux environments and virtualization tools such as VirtualBox or VMware.
- Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

- Hands-on experience with digital forensic tools such as Autopsy, The Sleuth Kit, Wireshark, or Volatility.
- Experience in disk imaging, file system analysis, file carving, and network forensics.
- Knowledge of incident response procedures and forensic investigation workflows.
- Experience with Python scripting or forensic automation.
- Previous TA experience in cybersecurity, digital forensics, or related courses.
- Familiarity with machine learning applications in digital forensics is an asset.

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

Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment):

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day):

Thursday, November 12, 2026

Posting Email Contact:

Hiring Contact Information:

Christine Harris, Instructional Support Coordinator -

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

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📌 Digital Forensics and Incident Response (Guelph)
🏢 University of Guelph
📍 Guelph