Candidates must have a PhD in Industrial Engineering, Operations Research, Computer Science, or a related discipline by the date of appointment or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates who demonstrate research excellence in Operations Research and whose research and teaching interests complement and strengthen our existing departmental strengths <https://www.mie.utoronto.ca/faculty-staff/core-faculty/#operations-research>. Candidates with a strong research record in stochastic Operations Research are particularly encouraged to apply. The successful candidate will be expected to pursue innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program. It is preferred that candidates have an undergraduate degree in engineering and be eligible for registration as a Professional Engineer.
Applicants must provide evidence of excellence in research, which can be demonstrated by a record of published papers in top-ranked and field relevant journals, or a research pipeline that is at high international levels, the submitted research statement, and strong letters of reference from referees of high standing. Further evidence of research excellence can be demonstrated by participation in top conferences and presenting research at other highly ranked schools.
Excellence in teaching will be demonstrated by strong endorsements from referees and the teaching dossier submitted as part of the application, including a strong statement of teaching philosophy, sample course materials, and excellent teaching evaluations.
The University of Toronto recognizes the importance and benefits of including and fostering a diversity of perspectives in pursuit of its academic mission. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. Candidates are therefore asked to submit a statement (up to 2 pages) describing any equity, diversity and inclusion considerations that have impacted or will impact their approaches to research, teaching, service, recruiting, training and mentoring.
Salary will be commensurate with qualifications and experience.
Established in 1827, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. U of T's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities continually attract outstanding students and academics from around the world. The Department of Mechanical & Industrial Engineering at the University of Toronto is home to the top Mechanical and Industrial Engineering programs in Canada.
We foster a world-class environment that excels in teaching, learning and research.
All qualified candidates are invited to apply online by clicking on the link below.
Applications must include a cover letter, a current curriculum vitae, teaching dossier (including a statement of teaching philosophy, sample course materials, and teaching evaluations), up to three sample publications or working papers, a statement outlining current and future research interests, and a statement of contributions to equity, diversity and inclusion.
Applications 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 after an application is submitted (this happens overnight). Applicants 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 <http://uoft.me/how-to-apply>. 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. For more information on the University of Toronto, and the Department of Mechanical & Industrial Engineering, please visit our website: http://www.mie.utoronto.ca <http://www.mie.utoronto.ca/>. If you have questions about this position, please contact chair@mie.utoronto.ca <mailto:chair@mie.utoronto.ca>.
All application materials, including reference letters, must be received by the closing date of December 12, 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 <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 <mailto:uoft.careers@utoronto.ca>.
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Merve Bodur, PhD
Assistant Professor, Industrial Engineering
Department of Mechanical & Industrial Engineering
Faculty of Applied Science & Engineering | University of Toronto
5 King's College Rd., Toronto, Ontario M5S 3G8
Office: 40 St. George Street, BA8106 Phone: 416 978 4739
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