Tenure-Track Position in Operations Management, Desautels Faculty of Management, McGill University

McGill University•Montreal, QC

1d•Onsite

About The Position

McGill’s Desautels Faculty of Management invites applications for one Assistant Professor tenure-track position in the Operations Management (OM) Area. The start date for the position is August 1, 2027. The position is open to candidates with a Ph.D. in any area of specialization in Operations Management, particularly in the field of data analytics related to operations management or operations research topics (e.g., revenue management, supply chain management, sustainable operations, big data, etc.), as well as to applicants demonstrating outstanding potential who are doctoral students in those fields and plan to have completed the requirements for their Ph.D. by December 2027. We have a particular interest in candidates with research and teaching focus in the Faculty priority areas of Analytics, AI & Advanced Digital Technologies; Innovation & Entrepreneurship; Sustainability; or Equity, Diversity & Inclusion. Successful candidates should have the ability to teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization; and will demonstrate the ability to advance a cutting-edge, compelling and impactful research agenda. The ideal candidate will have evidence of effective teaching, an experience-appropriate record of research publications in high quality, peer-reviewed journals, and clear promise of conducting innovative and important research publishable in the top journals in Operations Management such as those listed on the Desautels 22. The OM Area is particularly interested in candidates whose expertise lies in data-driven research and welcomes all candidates from related disciplines including statistics, economics and computer/information science provided there is significant OM component in the research. Successful candidates are also expected to work with doctoral students, to teach in our undergraduate and graduate programs, and contribute to the administration of the Area and Faculty. McGill University is an English-language university where teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing; but knowledge of French or a willingness to learn French is desirable.

Requirements

Ph.D. in any area of specialization in Operations Management, particularly in the field of data analytics related to operations management or operations research topics (e.g., revenue management, supply chain management, sustainable operations, big data, etc.), or be a doctoral student in these fields with plans to complete by December 2027.
Ability to teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization.
Demonstrate the ability to advance a cutting-edge, compelling and impactful research agenda.
Evidence of effective teaching.
An experience-appropriate record of research publications in high quality, peer-reviewed journals.
Clear promise of conducting innovative and important research publishable in the top journals in Operations Management.
Expertise in data-driven research.
Candidates from related disciplines including statistics, economics and computer/information science are welcome provided there is a significant OM component in the research.
Ability to work with doctoral students.
Ability to teach in undergraduate and graduate programs.
Willingness to contribute to the administration of the Area and Faculty.
English communication skills (verbal and written).
Authorized to work in Canada.
Willing to work in the province of Quebec at the campus where the position is based.

Nice To Haves

Knowledge of French or a willingness to learn French is desirable.
Research and teaching focus in the Faculty priority areas of Analytics, AI & Advanced Digital Technologies; Innovation & Entrepreneurship; Sustainability; or Equity, Diversity & Inclusion.

Responsibilities

Advance a cutting-edge, compelling and impactful research agenda.
Teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization.
Work with doctoral students.
Teach in undergraduate and graduate programs.
Contribute to the administration of the Area and Faculty.