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Full-Time Faculty, Toronto Campus (Master of Science in Artificial Intelligence Program)

Toronto, ON

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 (Master of Science in Artificial Intelligence 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

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

Contact information for three referees will be requested from shortlisted 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 careers@ibu.ca

 

To support the overall well-being and success of our employees, IBU provides a comprehensive total rewards package which includes:

  • 100% employer paid extended Health & Dental benefits
  • 24/7 access to Employee & Family Assistance Program and Virtual Healthcare
  • Life, AD&D, and Long-Term Disability Insurance
  • Competitive paid time off, starting at 3 weeks
  • Tuition reimbursement
  • Access to preferred corporate membership rates with GoodLife Fitness
  • Engaging employee appreciation and community-building events throughout the year

This position is based in a hybrid work arrangement, with employees working on-site four (4) days per week and the option to work remotely one (1) day per week, based on business needs. Employees will be required to come on-site as needed and are expected to reside in Ontario and within a reasonable commuting distance of the office/campus.

All applications submitted are reviewed in detail by our HR team. In certain aspects of the hiring process, artificial intelligence (AI) tools may be used, specifically for screening and assessments. These tools support our team and are used to help bring relevant criteria to the foreground and do not replace human judgment. We are committed to using AI responsibly, fairly, and in compliance with applicable employment and anti-discrimination laws. We regularly review these tools to help prevent bias or discrimination.
 
Vega/IBU values and embraces Diversity, Equality, Inclusion, and Accessibility as fundamental to our mission to educate students for career success in the business world today. Our desire is to ensure that our institution is a welcoming, inclusive, respectful, and safe environment for everyone. We are dedicated to fostering diversity and inclusivity within our community and are an equal-opportunity employer. We invite and encourage applications from all qualified individuals who would contribute to the further diversification of our Institution, including equity-deserving groups that are traditionally underrepresented in employment (Indigenous peoples, racialized persons, women, persons with disabilities, and 2SLGBTQQIPA+ persons). If you require an accommodation during the recruitment process, please contact Human Resources at humanresources@ibu.ca.

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