Assistant Professor, Supply Chain Management

ASSISTANT PROFESSOR, SUPPLY CHAIN MANAGEMENT

DEPARTMENT OF DECISION SCIENCES, SCHOOL OF BUSINESS

Competition No. 24.11.335

CATEGORY: Full-Time Tenure-Track

SALARY: Commensurate with qualifications and experience.

CLOSING DATE: A review of applications will begin January 6, 2025 and continue until a suitable candidate is found.

About Us

MacEwan University is where caring faculty help people connect their passions to their future paths. Located in the heart of Edmonton’s diverse and dynamic downtown community, and on the traditional lands of Treaty 6 First Nations and homelands of the Métis people, MacEwan is known for exceptional undergraduate learning. With its dedication to teaching excellence, informed by scholarly research, innovation, and creative activity, MacEwan provides an exceptional collaborative and supportive learning environment with a commitment to human rights, environmental sustainability, and opportunities for community engagement. We are committed to creating an equitable, diverse, inclusive, and welcoming community for all peoples, cultures, and identities.

Our comprehensive undergraduate university offers 55 programs to more than 19,000 full- and part-time students in various fields. Through a wide array of experiential learning opportunities, and strategic relationships in the community, we partner with others to produce graduates of stature. Along with a robust grounding in their chosen disciplines, MacEwan students are given durable life skills that prepare them to take on the world.

Opportunity

The Department of Decision Sciences in the School of Business invites applications for a full-time tenure-track appointment in Supply Chain Management at the rank of Assistant Professor, commencing July 1, 2025, subject to final budgetary approval. We are seeking candidates with expertise in Supply Chain Management or a closely related field.

The successful applicant will be part of our faculty team in supply chain and operations management, a growing area within our school. The Department of Decision Sciences is an interdisciplinary department with faculty members that specialize in quantitative research methods, supply chain management, operations research, economics, insurance and risk management, data analytics, and decision research. The successful candidate will play a vital role in enhancing the Department’s focus on excellence in undergraduate teaching and in conducting high-impact research.

You must demonstrate a primary commitment to undergraduate teaching and to conducting high-impact research. You will teach existing undergraduate courses in supply chain management and help develop additional courses in this area. Your primary area of research can be aligned with supply chain management or a closely related field. As a faculty member in the discipline, you are expected to be active in building and fostering industry relations and in promoting the student co-op program within Alberta and beyond.

You must hold a Ph.D. in Supply Chain Management or a closely related field. You should provide evidence of an ongoing research stream in supply chain management or a closely related field such as supply chain analytics, logistics, artificial intelligence, and blockchain technology. Candidates with professional/industry experience in supply chain management, especially in logistics management and procurement in the Canadian context will be highly desirable.

You will submit a cover letter, curriculum vitae, teaching dossier (including your teaching philosophy and recent teaching evaluations), statement of research interests, and a sample of your research work.

Only shortlisted candidates will be contacted by the Department Chair to provide three (3) letters of reference sent directly from referees. Only selected candidates will be required to submit official transcripts sent directly from the institutions where you completed your degrees. Questions about this opportunity may be addressed to Dr. Rohit Jindal, Department Chair, at JindaLR@macewan.ca.