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The Haskayne School of Business (HSB), University of Calgary, invites applications for two academic positions, appointed at the rank of Assistant Professor (tenure-track) or Associate Professor (with Tenure) in AI and business. We seek candidates whose research examines questions on how AI is shaping the human and strategic core of business. This position is not intended for technical specialists or those who use AI primarily as an analytic or computational tool. The ideal candidates investigate the organizational, behavioral, or strategic implications of AI, especially with the advent of generative AI. For example, how it influences decision‑making, strategy, innovation, markets, innovation, leadership, work, or culture. We will consider applicants in the following four academic areas: Marketing, Organizational Behavior & Human Resources, Entrepreneurship, or Strategy. Areas of interest include (but are not limited to):

• AI's influence on firm strategy, competition, and capabilities
• Human‑AI collaboration, leadership, and the future of work
• AI‑enabled innovation, entrepreneurship, and market transformation
• AI in marketing, customer engagement, and consumer decision‑making
• AI governance, ethics, and responsible AI in organization

The successful candidates will contribute to HSB's growing strength in digital transformation and advance understanding of AI as a social, organizational, and strategic phenomenon in business. Candidates will be expected to advance a strong research program in AI and develop and teach courses that focus on AI in business education, covering topics such as Generative AI, AI and Innovation, the Strategic Management of AI, and the Ethical Application of AI in Business, depending on their disciplinary area.

Candidates must have completed (associate rank) or be nearing completion (assistant rank) of a Ph.D. in a relevant management (or related) discipline. We seek collegial candidates with a strong research orientation, with expectations contingent on rank (see below). Duties include research, teaching at both undergraduate and graduate levels, and service to the Area, the School, the University, and the community. The salary is competitive and will depend on qualifications, rank, experience, and research. The appointment start date is July 1, 2026.

• Have high potential for excellence in research and scholarship, demonstrated by publications and/or invited revisions at top‑tier journals, such as those included in the FT‑50 list or equivalent leading journals in the field.
• Demonstrate an informed understanding of the capabilities and limitations of generative AI and its implications, sufficient to support research and teaching in the relevant discipline
• Demonstrate strong theoretical and methodological skills.
• Demonstrate excellent teaching skills through student evaluations, along with evidence of thoughtful adaptation of teaching methods to the availability of generative AI.
• Be prepared to provide service to the school, university, and profession.
• Be ready to supervise research‑based graduate students.
• Be motivated to apply for tri‑agency grants.
• Show a demonstrated capacity for thought leadership and research translation.
• Demonstrate a strong desire to conduct impactful research.

• Have a record of excellence in research and scholarship, demonstrated by multiple publications and invited revisions at top‑tier journals, such as those included in the FT‑50 list or equivalent leading journals in the field.
• Demonstrate an informed understanding of the capabilities and limitations of generative AI and its implications, sufficient to support research and teaching in the relevant discipline
• A history of successful Ph.D. student supervision.
• A past success in receiving tri‑agency grants (if in Canada) or a readiness to apply for grants (if outside Canada).
• A reputation for thought leadership and research translation.
• A demonstrated teaching ability as evidenced by strong student evaluations and a reflective teaching practice, along with thoughtful adaptation of teaching methods to the availability of generative AI.
• Strong research impact and reputation (e.g., adoptions of research in industry or policy, citations, editorial board memberships, and other indicators of external recognition).

Faculty in the Haskayne School of Business have published in top‑tier journals such as Journal of Marketing, Journal of Applied Psychology, Journal of International Business Studies, Academy of Management Review, Academy of Management Journal, Journal of Consumer Research, Academy of Management Annals, Strategic Management Journal, and Journal of Marketing Research. Faculty frequently publish in high‑impact practitioner journals, such as Harvard Business Review and California Management Review.

The Haskayne School of Business has a strong research culture supported by robust research infrastructure. We seek faculty who aim to contribute to the School's research and teaching mission. Experience or interest in teaching courses related to AI and its business implications will be considered a must.

Please be aware that the application process allows for only four attachments. Your application attachments should be organized to contain the following (which may require you to merge documents, such as publications, into a single PDF file):

• Cover letter and curriculum vitae, including the name and contact information of three referees (please do not send reference letters until they are requested).
• Statement of research interests, any publications or R&Rs, and your job market paper (bundled into one PDF document).
• Statement of teaching philosophy/teaching dossier.
• Statement on equity, diversity and inclusion (EDI) identifying the applicant's contributions or potential contributions to advancing a culture of equity and inclusion as it relates to their teaching, research and or service.

Dr. Sandy Hershcovis, Search Committee Chair
Senior Associate Dean
Haskayne School of Business, University of Calgary
E‑mail: m.hershcovis@ucalgary.ca

Applications will be accepted until January 6, 2026. Campus visits will take place in January or February.