Assistant Professor - Contractually Limited Term Appointment - Operations Management & Statistics

Job description

Assistant Professor - Contractually Limited Term Appointment - Operations Management & Statistics

Date Posted: 01/25/2021
Closing Date: 03/01/2021, 11:59PM ET
Req ID: 2600
Job Category: Faculty - Contractually Limited Term Appointment
Faculty/Division: Joseph L. Rotman School of Management
Department: Joseph L. Rotman School of Management
Campus:St. George (Downtown Toronto)


The Rotman School of Management at the University of Toronto invites applications for a two year Contractually Limited Term Appointment (CLTA) in the Operations Management and Statistics area. The appointment will be at the rank of Assistant Professor, and will commence July 1, 2021, or shortly thereafter (with an end date of June 30, 2023). The successful candidate may be eligible to be appointed as a Data Scientist in Residence with Rotman’s TD Management Data and Analytics Lab for a two-year term.

We seek experienced candidates who already hold a PhD degree in Operations Management, Information Systems Engineering, Operations Research or a closely related area, with a focus in data analytics, artificial intelligence, and/or information systems, and have a demonstrated record of excellence in research and teaching in any of these fields. The successful applicant will possess a strong demonstrated ability to integrate theory and practice through effective communication and presentation skills, and to stimulate and challenge the intellectual capacity of students. Experience in teaching undergraduate and graduate students is required.

We seek candidates whose research and teaching interests complement and enhance our existing strengths in operations management and statistics. The successful candidate is expected to pursue independent, innovative research at the highest international level, and to establish an outstanding and competitive research program leading to publications in internationally recognized top-ranked academic journals, in the fields of operations management and information technology. We seek individuals who have been published in, or have works in progress meeting the standards of Management Science, Manufacturing and Service Operations Management, Information Systems, and journals of similar caliber and international standing.

Candidates must provide evidence of research excellence as demonstrated by a record of high-impact contributions and publications in top-ranked and field-relevant journals, or forthcoming publications and other work in progress meeting high international standards. Other evidence of research excellence will include a strong research statement, presentations at significant conferences, awards and accolades, as well as strong endorsements from referees of high standing.

We seek candidates with research interest in analytics, the intersection of operations management, information systems, and statistics. The candidate must have demonstrated and proven knowledge of artificial intelligence, including machine learning, and business process mining techniques. An active research program in service operations is required.

The successful candidate will also have a record of excellence in teaching at both the undergraduate and graduate level. Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier, a teaching statement, sample course syllabi, and the teaching evaluations submitted as part of the application, as well as strong letters of reference, and a strong performance during the on-campus presentation for short-listed candidates.

The candidate should demonstrate the ability to teach courses in operations management and analytics with emphasize on its applications in marketing. Specific courses that the candidate should have a demonstrated ability to teach include: Foundations for Artificial Intelligence for Management, Modeling Tools for predictive analytics, Management Analytics, Database management decisions, and Management Science.

Select applicants will be invited to present their research to the Rotman School faculty and students as part of the interview process.

Salary will be competitive and commensurate with qualifications and experience.

About the Organization

U of T is Canada's largest university and has been ranked first in Canada and in the top 30 world-wide by most of the major international ranking scores. The Rotman School operates several programs including an undergraduate commerce program, a full-time, part-time and executive MBA programs, a Masters in Management Analytics program, and a Ph.D. program. Rotman is situated in the heart of Toronto, Canada's corporate and financial center, and the world’s most diverse city. Rotman’s core values reflect this diversity and, as such, we have a preference for candidates with demonstrated experience and interest in promoting a diverse and inclusive research and teaching environment. For more information about the Rotman School and its core values, please visit:

All qualified candidates are invited to apply online by clicking the link below. Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; up to three representative publications, and a teaching dossier to include a teaching statement, sample course syllabi, and teaching evaluations.

Applicants must arrange to have three letters of reference sent directly by the referee to the hiring unit via email at [email protected] by the closing date (on letterhead, dated, and signed). PLEASE NOTE: This search is not using the University’s automatic solicitation and collection functionality for reference letters.

Submission guidelines can be found at If you have any questions about this position, please contact Opher Baron at [email protected].

All application materials, including reference letters, must be received by March 2, 2021.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [email protected].

Job Segment: Statistics, Operations Manager, Manager, Engineer, Data, Operations, Management, Engineering




Diversity Profile: University



View more

Learn more on Inside Higher Ed's College Page for University

Arrow pointing right
Job No:
Posted: 1/26/2021
Application Due: 3/27/2021
Work Type: Full Time