Full-Time Faculty, MSc. Artificial Intelligence (AI) Program
International Business University
| Company | International Business University |
| Category | Data & Analytics |
| Location | 655 Bay Street |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 24 Feb 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About IBU
International Business University (IBU) stands as Ontario’s first independent not-for-profit university. Having received Ministerial consent for full accreditation in 2020 and DLI approval in 2023, IBU is Ontario’s only not-for-profit independent University. Our foundation draws inspiration from the world’s most esteemed independent universities, creating a ‘next generation’ model characterized by innovation, agility, and responsiveness. IBU is focused on being a truly student-centric, industry-aligned university, executing the best practices of today to build the future talent relevance of tomorrow. IBU is committed to curricula and learning experiences that seamlessly blend rigorous academic preparation with practical skill development, reflecting emerging technologies, evolving societal needs, and the future demands of the global workforce. Job Title: Full-Time Faculty, MSc. Artificial Intelligence (AI) Program
# of Openings: 1 opening for the Industrial Innovation specialization or Data Engineering specialization
Term: Indefinite
Department: EDVP Office
Reports to : Academic Director
Location: Toronto, Ontario
Expected Salary: $110,000.00 - $120,000.00 per annum
Reporting to the Academic Director, the successful Full-time Faculty candidate will be responsible for high-quality curriculum development, delivery of the courses, and student support and mentorship in the Master of Science in Artificial Intelligence Program. The professor is also responsible for analysis of student performance and curricular trends, and internal and external communications.
The ideal candidate will also demonstrate a strong commitment to equity, diversity, inclusion and to the promotion of a respectful and collegial learning and working environment on the IBU campuses.
Qualifications:
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.
Demonstrated track record of scholarly research, applied research, or 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 Process:
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. Pavlos Gkasis, Academic Director. This position is a new vacancy, and the posting remains open until the position is filled. The position is subject to budgetary approval. Any questions may be sent to [email protected] . To support the overall well-being and success of our employees, IBU provides a comprehensive total rewards package which includes, based on role eligibility:
100% employer paid extended Health & Dental benefits
24/7 access to Employee & Family Assistance Program an
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