Privacy, Compliance, and Human Aspects of Cybersecurity

University of Guelph; Guelph; On-site; CAD 25,000 - 39,000; Part time

Job summary

The University of Guelph invites applications for a Winter 2027 Teaching Assistant in the School of Computer Science to support the CIS*6550: Privacy, Compliance, and Human Aspects of Cybersecurity course. The assignment is in-person, with duties including office hours, preparation, student consultation, lab/seminar facilitation, grading, and course assessment.

Applicants must be enrolled for Winter 2027 and available for Tuesday/Thursday 3:00–4:20 PM lectures, CourseLink support, and final-exam

Qualifications

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities as needed.
• Excellent written communication skills, with the ability to critique mathematical solutions, Python code, and scholarly research reports and provide constructive feedback.
• Strong verbal communication skills and the ability to explain quantum computing concepts clearly to diverse learners and support in-class programming and tutorial exercises.
• Availability for assigned in-person office hours, staff meetings, course email monitoring, and CourseLink discussion-board support throughout Winter 2027.
• Availability during scheduled in-person lectures (Tuesday and Thursday, 3:00–4:20 PM) to support exercises, proctor CourseLink quizzes, and assist with research presentations, as assigned.
• Availability to invigilate the in-person final examination and assist with grading assignments, quizzes, research papers, presentations, and the final examination using instructor-provided criteria.
• Background in Computer Science, Mathematics, Physics, or a closely related field, with a solid foundation in algorithms, discrete mathematics, probability, and linear algebra.
• Working knowledge of complex vector spaces, inner and tensor products, eigenvalues and eigenvectors, unitary operators, and Dirac notation; ability to apply these to quantum states, gates, measurement, and entanglement.
• Knowledge of quantum circuits, computational complexity, and core algorithms, including Grover search, the quantum Fourier transform, phase estimation, and Shor’s algorithm.
• Proficiency in Python and Jupyter Notebooks, with practical Qiskit experience building, simulating, testing, and debugging quantum circuits and algorithms.

Responsibilities

• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Grading
• Other Duties (specify below)
• May be required to complete departmental TA training - further information will be provided upon hiring. NOTICE: The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

Skills

Python

Qiskit

Jupyter Notebooks

Written communication

Verbal communication

In-person teaching

Education

Background in CS/Math/Physics or related field

Tools

Qiskit

Jupyter Notebooks

Job description

TA401435- Winter 2027-CIS*6550 Privacy, Compliance, and Human Aspects of Cybersecurity

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*6550

Course Name:

Privacy, Compliance, and Human Aspects of Cybersecurity

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.The University continues to offer a a more significant portion of its courses face-to-face “In-Class”. Remote and alternative delivery modes may also occur. Should conditions change and requirements are placed on the University and its employees by public health bodies, local, provincial, and federal governments, courses posted as ‘In-Class’ may have to switch to an alternative delivery format (see https://opened.uoguelph.ca/academic-continuity). By accepting this contract, you are agreeing to fulfill the duties in the mode of delivery posted and switch as required. Should you require a medical accommodation, please notify your supervisor immediately.* Course format: When applying for this work assignment, please be aware that the course is being delivered in a format conducive to the current guidance of the provincial and federal government. Courses offered in-class may be required to pivot to alternate delivery format in the case that requirements placed on the University and its employees by public health bodies, local, provincial and federal governments necessitate such a mid-semester transition. Should this occur, TAs will be required to continue to support the course in its alternate format.* Location/Availability: Work location will vary based on current guidance. Applicants must be aware of this and available to support a course in formats such as: Distance Education, in-person, or alternative delivery format. At the time of this posting, the guidance from provincial and federal bodies indicates an alternative or DE format is likely. Applicants should indicate their availability for each scenario, if possible.* Should conditions change and requirements are placed on the University and its employees by public health bodies, local, provincial, and federal governments, courses posted as ‘In-Class’ may have to switch to an alternative delivery format (see https://opened.uoguelph.ca/academic-continuity). By applying to this work assignment, you are agreeing to fulfill the duties in the mode of delivery posted and switch as required. The University’s COVID-19 website(https://www.uoguelph.ca/covid19/) provides important information about campus protocols and guidelines for those working on campus.

30-60

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
• Grading
• Other Duties (specify below)
• May be required to complete departmental TA training - further information will be provided upon hiring. 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 as needed;
• Excellent written communication skills, with the ability to critique mathematical solutions, Python code, and scholarly research reports and provide constructive feedback.
• Strong verbal communication skills and the ability to explain quantum computing concepts clearly to diverse learners and support in-class programming and tutorial exercises.
• Availability for assigned in-person office hours, staff meetings, course email monitoring, and CourseLink discussion-board support throughout Winter 2027.
• Availability during scheduled in-person lectures (Tuesday and Thursday, 3:00–4:20 PM) to support exercises, proctor CourseLink quizzes, and assist with research presentations, as assigned.
• Availability to invigilate the in-person final examination and assist with grading assignments, quizzes, research papers, presentations, and the final examination using instructor-provided criteria.
• Background in Computer Science, Mathematics, Physics, or a closely related field, with a solid foundation in algorithms, discrete mathematics, probability, and linear algebra.
• Working knowledge of complex vector spaces, inner and tensor products, eigenvalues and eigenvectors, unitary operators, and Dirac notation; ability to apply these to quantum states, gates, measurement, and entanglement.
• Knowledge of quantum circuits, computational complexity, and core algorithms, including Grover search, the quantum Fourier transform, phase estimation, and Shor’s algorithm.
• Proficiency in Python and Jupyter Notebooks, with practical Qiskit experience building, simulating, testing, and debugging quantum circuits and algorithms.

Days Required and Wages

• Unless otherwise specified, all lectures will be face-to-face. Must be available to complete TA duties as required until the end of the work period. See WebAdvisor for lecture times.NOTE: Since the time of posting, the end date of the contract has been amended to take into account the holiday closure.

Period of the Work Assignment (Start Date and End Date):

January 7, 2027 to May 7, 2027

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

Thursday, November 12, 2026

Hiring Contact Information:

Christine Harris, 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.