Sessional Lecturer

Sessional Lecturer - MBAI 5300G – Programming and Data Processing - Winter 2026

Tracking Code: req1810

Faculty of Business and Information Technology

Number of Sections: 1

Appointment Type: Limited Term

Salary Grade: Administered in accordance with the Collective Agreement

Posting Date: November 10, 2025

Closing Date: November 21, :00 pm EST)

Course Name and Number: MBAI 5300G - Programming and Data Processing

Location of classes: North Campus

Course Start Date: January 12, 2026

Course End Date: May 01, 2026

Reporting to the Dean of the Faculty of Business and IT, the Sessional Lecturer provides instruction to graduate students in MBAI 5300G – Programming and Data Processing.

The current schedule is:

Mondays 5:10PM – 8:00PM

Please note that this course will be delivered in person on Ontario Tech University's north campus in Oshawa, Ontario. Unless required for student registration purposes, the schedule is not subject to change without approval from an Associate Dean and/or the Dean.

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:

In addition to the Required Education, Required Skills, and Required Experience set out below, the successful candidate will have a proven aptitude for teaching at the graduate level, with demonstrated potential for making excellent contributions to teaching.

Candidates will be required to certify that they are currently, and will be for the duration of the contract, legally eligible to work in Canada.

Required Education:

Candidates must have a PhD/PhD (ABD) in Computer Science, Data Science, Business Analytics, or a related field.

Required Skills:

The successful candidate will have:

• Excellent communication skills.

• Strong organizational skills.

• Ability to respond to student inquiries and to grade assignments and exams in a timely manner.

• High level of comfort with interacting with students and colleagues using online modalities such as Google Meet and Kaltura.

• Ability to manage a course effectively using a Learning Management System.

• An ability to develop innovative and inclusive teaching strategies.

• An ability to communicate effectively in a multicultural and diverse community.

Required Experience

Candidates must be familiar with AI/ML. Candidates should outline their knowledge of and experience with matters related to AI/ML in their cover letter.

Knowledge of AI programming will be considered a strong asset. This knowledge and experience can be demonstrated by one or more of the following:

• Experience teaching university-level courses in AI Programming, with a focus on Python programming and machine learning algorithms.

• Scholarship in the field of AI Programming, as demonstrated through publications, preferably in peer-reviewed journals; and/or

• Professional work experience in the field of AI Programming.

Candidates should include materials relevant to their experience with their application. These materials may include details about their professional work experience, copies of their publications, and/or the outlines of courses they have taught in the past.

Preference will be given to candidates who have demonstrated excellence in teaching a graduate course in IT or Computer Science at a graduate level. Candidates can demonstrate their competence by submitting course evaluations and/or formal peer evaluations

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 November 21, 2025 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