Introduction to Cryptography

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*4520

Course Name: Introduction to Cryptography

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.

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

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Marking assignments and returning them to students on time
• Collaborating and mentoring

Must be available to support scheduled lab hours throughout the entire semester, must be available for weekly meetings with the instructor, and must be available to moderate online forums, if applicable, as assigned by the instructor.

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 taken CIS*4520 or a similar Cryptography course.
• 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.
• Background in Computer Science.
• An advanced mature knowledge of the subject area that includes Number theory, symmetric and asymmetric crypto-systems and their cryptanalysis, hash functions and message authentication (MAC), provable security, key-exchange and management, authentication and digital signatures.

Preferred Qualifications:

• Previous successful TA experience supporting CIS*4510 or CIS*4520.
• Demonstrated knowledge of CIS*4520 subject area through course development or having recently taken a similar undergraduate or graduate course.

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 support all labs throughout the semester. 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

Posting Email Contact: Hiring Contact Information: Christine Harris, 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.

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.