Full-Time Faculty, MSc. Artificial Intelligence (AI) Program
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 5, 2026.
Join one of Canada's fastest-growing universities as a Full-time Faculty Member, where you will have the unique opportunity to shape the future of our growing Master of Science in Artificial Intelligence program and make a lasting impact on its development and success.
About the Role
As a Full-Time Faculty member in the Master of Science in Artificial Intelligence (AI) program, you will play a key role in the growth and success of one of IBU's newest graduate programs. Reporting to the Executive Dean and Vice-President, you will deliver high-quality teaching, develop curriculum, mentor students, and contribute to program enhancement, academic quality, and industry engagement.
This role is ideal for a passionate educator and scholar who is committed to student success, innovation, and academic excellence.
Title: Full-Time Faculty, MSc. Artificial Intelligence (AI) Program
Type: Full-Time, Permanent
Department: EDVP Office
Reporting to: Executive Dean and Vice-President
Location: Toronto, Ontario (Hybrid)
Existing Vacancy: Yes
Openings: 2
Compensation Range: $110,000 - $120,000 annually
Why Join IBU
Located in downtown Toronto, IBU is one of Canada's fastest-growing universities, committed to innovation, academic excellence, and preparing graduates to thrive in a rapidly changing global economy. As a member of our faculty, you will have the opportunity to help shape and expand a growing graduate program, collaborate with talented colleagues and industry partners, and make a meaningful impact on the next generation of AI professionals, researchers, and leaders.
What You'll Do
- Develop, review, and deliver high-quality curriculum and course content within the Master of Science in Artificial Intelligence program.
- Teach graduate-level courses using engaging, innovative, and evidence-based pedagogical approaches.
- Support student learning and success through mentorship, academic advising, and timely feedback.
- Contribute to the continued growth, enhancement, and accreditation readiness of the MScAI program.
- Evaluate student performance and maintain accurate academic records in accordance with university policies and standards.
- Analyze curricular trends, learning outcomes, and student success data to support continuous improvement initiatives.
- Engage in scholarly, applied, and/or industry-based research activities that contribute to the advancement of the field.
- Collaborate with faculty, academic leadership, and external stakeholders to strengthen program quality and industry relevance.
- Participate in university service activities, committees, academic planning initiatives, and faculty meetings.
- Contribute to a respectful, inclusive, and collaborative academic environment that supports student, faculty, and institutional success.
This is a hybrid role based in Toronto, requiring in-person attendance as needed, including weekdays, evenings, and occasional weekends.
What You Bring/Who You Are
- Preference will be given to candidates with a terminal degree requirement and a demonstrated commitment to teaching and research.
- PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a closely related field is required.
- Preference will be given to candidates who qualify as Scholarly Academic (SA) faculty under AACSB standards through a strong record of peer-reviewed intellectual contributions and demonstrated ongoing research productivity.
- Demonstrated record of peer-reviewed scholarly publications and an active research agenda in Artificial Intelligence, Data Science, Machine Learning, Data Engineering, Industrial Innovation, or related fields.
- Demonstrated record of having supervised graduate students.
- Demonstrated record of industry engagement in AI driven innovation.
- Expertise in areas such as machine learning, deep learning, data engineering, intelligent systems, robotics, or applied AI solutions.
- Experience teaching topics including Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Cybersecurity, Human-Computer Interaction, or AI applications in industry.
- Demonstrated relevant academic background, research portfolio and a record of teaching excellence.
- Experience with remote/online/hybrid instruction is desirable.
Application Packages should contain the following:
- A cover letter
- A current CV
- A statement of teaching philosophy and evidence of teaching effectiveness (e.g., examples of peer and/or student evaluations)
- A research plan (up to two single-spaced pages)
- Sample publications or a research portfolio
- Indigenization, Equity, Diversity and Inclusion (I-EDI) Statement
- Contact information of three referees will be requested of longlisted candidates
Note: Application materials should be submitted as a single combined PDF file, with a file name that identifies the applicant.
Candidates shall address their application to: Dr. István Imre, Executive Dean and Vice-President. The posting remains open until the position is filled, and the position is subject to budgetary approval. Any questions may be sent to [email protected].
Additional Information
To support the overall well-being and success of our employees, IBU offers a comprehensive Total Rewards package, which may include the following, based on role eligibility:
- 100% employer-paid extended Health & Dental benefits
- 24/7 access to an Employee and Family Assistance Program (EFAP) and virtual healthcare services
- Life, Accidental Death & Dismemberment (AD&D), and Long-Term Disability insurance
- Competitive paid time off, starting at three weeks
- Tuition Benefit Program
- Access to preferred corporate membership rates with GoodLife Fitness
- Engaging employee appreciation and community-building events
IBU is an Equal Opportunity Employer
IBU is committed to fostering a diverse, inclusive, and equitable workplace where everyone feels welcome, valued, and respected. We are dedicated to the principles of equal opportunity and encourage applications regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Please contact [email protected] if you require accommodation during the recruitment process.
Application Process
All applications are reviewed by our HR team. We may use AI tools to support certain stages of the hiring process and do not replace human judgment. IBU is committed to the responsible and fair use of AI in compliance with applicable laws.
While we appreciate all applications, we regret that we can only contact those candidates selected for an interview. We thank all applicants for their submissions.