Sessional Lecturer - MBAI 5310G – AI Programming - Winter 2026
About the role
Sessional Lecturer - MBAI 5310G – AI Programming - Winter 2026
Tracking Code: req1789
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 4, 2025
Closing Date: November 17, 2025 (7:00 pm EST)
Course Name and Number: MBAI 5310G - AI Programming
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 5310G – AI Programming.
The current schedule is:
Section 1: Mondays 3:40PM – 6:30PM
Section 2: Wednesdays 2:10PM - 5:00PM
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, with a focus on AI programming.
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 have experience related to AI Programming. This 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 17, 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
About Ontario Tech University
Modern and forwarding-thinking, we advance the discovery and application of knowledge to accelerate economic growth, regional development and social innovation. We inspire and equip students and graduates to make a positive impact in a tech-focused world.
For us, it's not only about developing the next tech breakthrough. Understanding and integrating the social and ethical implications of technology differentiates us as a university.
Our researchers and students team with organizations, community, government and academic partners to uncover innovative solutions for our partners' most pressing problems in a wide range of areas including business, education, energy systems and nuclear science, engineering, health science, humanities, science, information technology and social science.
At Ontario Tech University, we adapt to the ever-changing educational landscape by reimagining education through experiential and dynamic learning opportunities, giving more choices to more people. With more than 80 specialized research laboratories and facilities in addition to many collision spaces like Brilliant Catalyst, our campus community is a place to make lasting connections.
Sessional Lecturer - MBAI 5310G – AI Programming - Winter 2026
About the role
Sessional Lecturer - MBAI 5310G – AI Programming - Winter 2026
Tracking Code: req1789
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 4, 2025
Closing Date: November 17, 2025 (7:00 pm EST)
Course Name and Number: MBAI 5310G - AI Programming
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 5310G – AI Programming.
The current schedule is:
Section 1: Mondays 3:40PM – 6:30PM
Section 2: Wednesdays 2:10PM - 5:00PM
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, with a focus on AI programming.
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 have experience related to AI Programming. This 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 17, 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
About Ontario Tech University
Modern and forwarding-thinking, we advance the discovery and application of knowledge to accelerate economic growth, regional development and social innovation. We inspire and equip students and graduates to make a positive impact in a tech-focused world.
For us, it's not only about developing the next tech breakthrough. Understanding and integrating the social and ethical implications of technology differentiates us as a university.
Our researchers and students team with organizations, community, government and academic partners to uncover innovative solutions for our partners' most pressing problems in a wide range of areas including business, education, energy systems and nuclear science, engineering, health science, humanities, science, information technology and social science.
At Ontario Tech University, we adapt to the ever-changing educational landscape by reimagining education through experiential and dynamic learning opportunities, giving more choices to more people. With more than 80 specialized research laboratories and facilities in addition to many collision spaces like Brilliant Catalyst, our campus community is a place to make lasting connections.