Description

The Department of Computer Science, within the Faculty of Science, invites applications for a Winter 2027 term Sessional Instructor, with a start date of Dec 1, 2026.

The successful candidate will have responsibilities for one section of the ISEC 611 course during the Winter 2027 Term, including the supervision and direction of teaching assistants, who will instruct the tutorial sections.

ISEC 611: Private Data Management

"Privacy issues in data collection, analysis and dissemination. Identify and mitigate threats to privacy in various data processing environments. Understand the scope of privacy issues and ethical/legal frameworks. Data anonymization protocols and their applicability."

Note: This course is part of the professional master's program in information security and privacy, geared towards training future working professionals, and as such, the class size will be small.

Winter 2027 Term Dates

January 4 - April 30, 2027

Delivery Mode(s)

All course components will be delivered in person.

Teaching Schedule (non-standard)

The lectures will run Monday through Friday, 9:00 a.m. to 5:00 p.m. from Jan 4 to 8, 2027, and again from Jan 18 - 29, 2027. The position will commence Dec 1, 2026.

L01: Jan 4 - 8, 2027 from 09:00 - 17:00
L02: Jan 18 - 29, 2027 from 8:00 to 12:00

Each section of this course will be offered as a one-week module, with students submitting additional work over the subsequent three weeks, with exact dates to be determined by the instructor in conjunction with Graduate Program Director.

Students will participate in a combination of synchronous and asynchronous instruction for the entire duration of the month.



We generally expect all student work to have been submitted by four weeks after the first day of the lecture, and for the sessional to submit grades by 8 weeks after the first day of the lecture (or by the end of the term, whichever is first).

Qualifications

Qualifications of particular interest are experience in system administration, system hardening, vulnerability analysis, penetration testing, and/or red-team engagement. Additional experience or expertise could include:

- knowledge of blue team strategies.
- white team oversight processes.
- experience with CyberRange.
- knowledge about how a yellow team would respond to the insights from various red team attacks.

Application

- Cover letter
- Current curriculum vitae
- Concise statement of teaching philosophy including fostering an inclusive learning environment
- Teaching dossier documenting past teaching experience and effective teaching practices
- Names and contact information for minimum of three (3) references (no letters are required with the initial application, and references will only be contacted should the candidate be selected for further consideration)

Please Note





- Applicants who have taught as a sessional instructor in the Faculty of Science in the past two years may choose to only submit a cover letter and current CV
- Multiple positions may be filled by this posting
- Only those candidates chosen to proceed in the selection process will be contacted

Application Deadline

November 20, 2026

Thank you for submitting your online application

Remuneration is calculated according to the Collective Agreement, Schedule B. Please see the Faculty Association's website at www.tucfa.com for further information regarding conditions of employment and remuneration. As per the Collective Agreement, the Department of Computer Science will adhere to the right of first refusal terms (Section 23.12.1 and 23.12.2) for Sessional Appointments.

The University of Calgary has launched an institution-wide Indigenous Strategy ii' taa'poh'to'p committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do.

As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and skilled success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, membe

📌 Sessional Instructor: ISEC 611, Department of Computer Science, Faculty of Science (Canada)
🏢 University of Calgary
📍 Canada