Polytechnique Montréal promotes excellence, creativity, integrity, collaboration, respect, openness and diversity. Recognized as one of Montreal’s best employers offering, it offers excellent working conditions, in particular by fostering employees’ work-life balance and well-being.
Polytechnique Montréal is strongly committed to equity, diversity and inclusion, which fosters its development and constitutes an undeniable catalyst for excellence in teaching, research and outreach activities. Accordingly, Polytechnique particularly encourages qualified women, members of visible and ethnic minorities, Aboriginal people and persons with disabilities to apply. Accommodations can be provided based on the needs of the candidates.
Applying to Polytechnique is taking a leap toward a rewarding career and opening up to a world of opportunities.
Located on Mount Royal, an exceptional setting in the heart of Montreal, Polytechnique is a world-renowned engineering university that operates in a STARS certified environment. It excels in multidisciplinary and multisectoral research and in high-quality training at all academic levels. Founded in 1873, Polytechnique Montréal hosts more than 8,500 students and relies on the expertise of more than a thousand persons with a wide variety of qualifications. As an active advocate for sustainable development, Polytechnique stands out by its leading-edge innovations and its active role in technological, economic and social development. Polytechnique is involved locally, nationally and internationally by spurring synergy among research ecosystems.
With 47 professors and 10 instructors, the Mathematics and Industrial Engineering Department is responsible for numerous programmes and courses at Polytechnique : the bachelor’s industrial engineering programme, professional Master’s and specialized graduate programmes in industrial engineering, Master’s and PhD programmes in industrial engineering and applied mathematics, as well as all mathematics and complementary studies courses.
This announcement is to fill the Scale AI supply chain/logistics chairholder position. The Scale AI Chair is intended to foster both methodological and applied research in Data Science with particular emphasis to Supply Chain. For this reason the candidate is a scholar with a strong research record in both methodological and applied aspects of Data Science for supply chain management. Because of the foreseen strong interaction with the Scale AI activities, the candidate should preferably have a proven experience in applied research with particular emphasis on urban logistics, transportation, demand forecast, logistics network design or any other relevant field.
The successful candidate will be expected the duties of this position with dynamism and creativity. In particular, he or she will:
demonstrate a commitment to excellence in teaching at both the undergraduate and graduate levels;
carry out innovative research;
supervise undergraduate and graduate students;
obtain grants and contracts aimed at training highly qualified personnel through research;.
publish the results of his or her research in scientific literature;
collaborate with other researchers and research teams within Polytechnique Montreal or with other institutions;
contribute to the influence of Polytechnique Montreal in Québec and internationally.
AREAS OF EXPERTISE
The department is searching for a professor with expertise in at least two of the following fields:
- continuous and discrete optimization;
- simulation-optimization methods;
- probabilistic analytical modeling and statistical learning.
Priority is given to candidates demonstrating expertise in the developement of methods integrating techniques from different fields.
As soon as possible.
The successful candidate must hold a doctorate in a field relevant to the description of the position. Post-doctoral experience is an advantage.
The successful applicant will have to be registered as a Professional Engineer with the Ordre des ingénieurs du Québec (OIQ) or will have to take the necessary measures to register prior to applying for tenure. The teaching language in Polytechnique is French, and the successful candidate will have to be fluent in French, both spoken and written, before applying for tenure. Polytechnique Montréal will provide the necessary assistance and support for the successful candidate to become registered members of the OIQ and to learn French.
Polytechnique Montréal recognises that career interruptions such as maternity leaves, parental leaves, extended sick leaves, clinical trainings, as well as disabilities, can impact productivity and research achievements. The impact of these leaves will be taken into account during the recruitment process.
This faculty position is tenure-track. Salary and benefits will be set in accordance with the collective agreement in effect (https://www.polymtl.ca/srh/relations-de-travail). The latter includes arrangements for work-life balance and offers maternity, paternity and adoption leaves in addition to the Québec Parental Insurance Plan (http://www.rqap.gouv.qc.ca/).
HOW TO APPLY
Candidates are invited to submit an application that includes:
a description of their area of expertise;
a statement of their teaching and training objectives;
a description of their proposed research objectives and programme;
official transcripts of their diplomas;
full contact information of three persons able to provide references;
a few examples of work relevant to the position;
three recent scientific contributions;
teaching evaluations if applicable.
Applications should be submitted no later than June 19, 2020, at 5PM Montréal time, to the attention of :
Professor Yuvin Adnarain Chinniah, Chair
Mathematics and Industrial Engineering Department
Case postale 6079, succursale Centre-ville
Montréal (Québec) H3C 3A7
Examination of applications will begin as soon as possible and will continue until the position is filled.
We encourage all qualified candidates to apply, particularly women, members of visible and ethnic minorities, Aboriginal people and persons with disabilities. In accordance with immigration requirements, Canadians and permanent residents will be given priority.