Assistant Professor, Supply Chain Management Department of Decision Sciences, School of Business Competition No. 25.10.289 Category Closing Date Full-Time Tenure-Track Commensurate with qualifications and experience. New hires will normally be placed within the first 8 steps of the Assistant Professor salary table. A review of applications will begin November 30, 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 Mtis 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 20,000 full- and part-time students in business, communications, community and human services, design, fine and performing arts, health, humanities, natural science, nursing, public safety, and social science. 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. The Department of Decision Sciences in the School of Business invites applications for an entry-level, full-time, tenure-track appointment in Supply Chain Management at the rank of Assistant Professor, commencing July 1, 2026, subject to final budgetary approval. The Department of Decision Sciences is an interdisciplinary department within the School of Business 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 departments focus on excellence in undergraduate teaching and in conducting high-impact research. You will teach our existing undergraduate courses in supply chain management (global supply chain management, business logistics management, transportation, supply chain resource planning, principles of quality management, procurement and supply management, and supply chain risk 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 coop program within Alberta and beyond. You must have, or be close to completion of, a terminal degree 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. In your application, please provide the names of three referees. 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, Chair, Department of Decision Sciences ([email protected] ) This position is included under the Faculty Association collective agreement All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. MacEwan University is committed to fostering the principles of equity, diversity, and inclusion within our community, and we are dedicated to removing barriers that have been historically encountered and are currently experienced by some members of our society. We welcome and encourage applications from Indigenous peoples, racialized persons, visible minorities, women, persons with disabilities, sexual and gender minorities, and members of all equitydeserving groups. We believe that the diversity of our students, staff, and faculty serves as a strength of our institution and benefit to society. We are committed to ensuring full and inclusive participation for all in our community. Accessibility Statement We strive to provide an inclusive and barrierfree work environment, beginning with the hiring process. If you require accommodation, we want to ensure you have the support you need to showcase your abilities. Please contact [email protected] and we will support you to the best of our ability. Personal Information Collection Notification The personal information collected through MacEwan Universitys application for employment and is used to determine your qualifications for employment. If your application progresses to the next stage of the hiring process, this information may be shared with nonHR members of the hiring committee and interview panel. This collection is authorized by section 4(c) of the Protection of Privacy Act. For questions about the collection of personal information, contact Human Resources at [email protected] or phone (780) 4975434. #J-18808-Ljbffr
Job Title
Assistant Professor, Supply Chain Management