Associate Professor/Professor - Operations Management and Statistics

Date Posted: 09/02/2022
Closing Date: 11/28/2022, 11:59PM ET
Req ID: 26237
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Rotman School of Management
Department: Operations Management and Statistics
Campus:St. George (Downtown Toronto)

Description:

THIS POSTING HAS BEEN EXTENDED TO THE NEW CLOSING DATE OF NOVEMBER 28, 2022

The Rotman School of Management at the University of Toronto invites applications for one full-time tenure stream appointment in Operations Management & Statistics. The appointment will be at the rank of Associate Professor or Professor and commence on July 1, 2023, or shortly thereafter.

Applicants must have earned a Ph.D. degree in Operations Management, Operations Research, Statistics, or a related discipline. We seek candidates whose research and teaching interests complement our existing strengths. We seek individuals with a demonstrated exceptional record of excellence in research and teaching. Applicants must engage in research in the area of data analytics. In addition, applicants for the position must have a strong theoretical and methodological background in their area of specialization and data analytics, as well as the demonstrated ability to apply this knowledge to important questions and issues in management. Applicants must be able to teach in the Master of Management Analytics program and have a demonstrated mastery of their subject area and of analytics. Preference will be given to candidates specializing in health care management.

Candidates will have an established international reputation. The successful candidate for this position is expected to be actively engaged in innovative and independent research at the highest international level and to maintain an outstanding and competitive research program.

The Rotman School of Management has a strong research-oriented faculty that is supportive of serious scholarship and is committed to the professional development of its faculty. The Operations Management and Statistics area provides a stimulating and supportive research environment and a strong commitment to excellence in both research and teaching. The recently-formed TD Management Data and Analytics Lab promotes cutting-edge analytic tools in business through teaching and research, and will be a central source of knowledge and expertise in data science, AI, and machine learning applications.

For this position, excellence in research is evidenced primarily by a sustained and impactful publication record, a research statement, and strong letters of reference from referees of high standing. The successful candidate for this position is expected to pursue innovative and independent research at the highest international level, and to publish articles in internationally recognized top-tier academic journals in the field of Operations Management. We seek individuals who publish in Management Science, Operations Research, Manufacturing & Service Operations Management, and/or journals of similar caliber and international standing. Other evidence of research excellence may include research presentations at top conferences and other highly ranked schools, and research awards and accolades.

Applicants must demonstrate excellence in teaching. This will be demonstrated through the statement of teaching philosophy, teaching accomplishments, and teaching dossier (with required materials outlined below), as well as strong letters of recommendation, and strong performance during the on-campus presentation for short-listed candidates.

Salary and rank are 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 worldwide by most of the major international ranking scores. The Rotman School operates an undergraduate commerce program, a full-time, part-time, and executive MBA program, a Master of Financial Risk Management program, a Master of Finance program, a Master of 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 www.rotman.utoronto.ca/Connect/AboutRotman/OurValues.

Application Procedure

All qualified candidates are invited to apply online by clicking the link at the end of this post. No paper applications or supporting documents will be accepted. Applicants must submit a cover letter, a current curriculum vitae, a research statement outlining current and future research interests, up to three sample publications, and a teaching dossier to include a teaching statement, sample syllabi, and teaching evaluations.

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each once an application is submitted (which happens overnight). Applicants, however, remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date.

Submission guidelines can be found at: http://uoft.me/how-to-apply. All documents, with the exception of the three reference letters, MUST be submitted via the submission link. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Professor Ming Hu, Search Committee Chair at omstat-recruit@rotman.utoronto.ca.

All application materials, including reference letters, must be received by the closing date of November 28, 2022.

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 http://uoft.me/UP.

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 uoft.careers@utoronto.ca.

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