Sessional Lecturer - MBAI 5500G - Security, Privacy, and Trust in AI Systems - Spring 2026

Tracking Code: req2000

Faculty of Business and Information Technology

Number of Sections:  1

Appointment Type: Limited Term

Salary Grade: Administered in accordance with Appendix A of the Sessional Lecturers Collective Agreement with PSAC

Posting Date: April 16, 2026             

Closing Date:  April 30, 2026 (7:00 pm EST)

Course Name and Number: MBAI 5500G - Security, Privacy, and Trust in AI Systems

Location of classes: North Campus
Course Start Date: May 11, 2026
Course End Date: July 3, 2026

Reporting to the Dean, the Sessional Lecturer provides
instruction to graduate students in the Faculty of Business and IT.

To view this course description, please click the following link and enter the course code from above:
https://calendar.ontariotechu.ca.

Responsibilities/Accountabilities: 

The primary responsibility of the applicant is to (develop and) teach a theoretically, methodologically sophisticated and relevant course at the university level within the parameters of the course description listed above.  In keeping with a technology-enhanced learning environment utilizing laptop computers and wireless connectivity, the Sessional Lecturer will deliver the course using a technology-enhanced learning approach that includes a variety of inclusive teaching and learning strategies and assessments.  The Sessional Lecturer will prepare, deliver and grade all course material and assignments and be available for consultation with students during and following completion of the course session.

This position falls within the bargaining unit represented by the Public Service Alliance of Canada (PSAC) and will be subject to the terms and conditions of the collective agreement between the University and PSAC. The collective agreement may be found on the Human Resources section of our website. Candidates will be required to certify that they are currently legally eligible to work in Canada for the duration of the contract. 

Qualifications:  

The successful candidate will have demonstrated excellent
teaching contributions with a proven aptitude for teaching at the
graduate level. 

Required Skills:

• A proven commitment to providing innovative and inclusive teaching strategies
• Evidence of an ability to work in a collaborative environment
• Excellent communication skills with an ability to maintain effective relationships with a range of faculty, staff and students
• Candidates will have
  demonstrated excellence in teaching graduate students in an AI or machine
  learning program
• Demonstrated knowledge and experience with the Learning Management System, Canvas
• Demonstrated ability to deliver classes remotely, using online modalities such as Kaltura Media and Google Meets
• Proven experience managing large classes and diverse populations
• Experience coordinating and supervising Teaching Assistants as applicable
• Excellent organizational skills are needed to effectively manage course delivery, the marking of assignments and exams and the ability respond to student enquiries in a timely manner

Education:

• A PhD or Master’s Degree in Computer Science or
  related discipline

Experience: 

• Preference will be given to
  those candidates with demonstrated teaching excellence experiences in AI
  trustworthiness, ethics, or human-centred analysis and design in a
  post-secondary environment

Priority will be given to an Internal Applicant who has taught any course for the University in three (3) different sessions in the past thirty-six (36) months, provided they meet the requirements for the position as outlined in the job posting.

How to Apply:

Interested candidates should submit in electronic format a covering letter and their resume. Applications will be accepted until April 30, 2026 or until a suitable candidate is found. We appreciate all applications received; however, only those candidates selected for an interview will be contacted.

Ontario
Tech University is actively committed to equity, diversity, inclusion, indigenization
and decolonization (EDIID), and welcomes applications from all qualified
candidates, while especially encouraging applications from First Nations,
Metis, Inuit peoples, Indigenous peoples of North America, racialized persons,
persons with disabilities, and those who identify as women and/or
2SLGBTQ+. All qualified candidates are encouraged to apply;
however, Canadian citizens, permanent residents, Indigenous Peoples in Canada, and those eligible to work in
Canada, will be given priority.

Ontario Tech University respects people's different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle.

If you require accommodation, please contact Julie Day, Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university’s Accessibility Policy.

The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi.

Job Location: Oshawa, ON, Canada