Pursue a Career at Polytechnique Montreal

PROFESSOR OF DATA ANALYTICS AND DECISION-MAKING

Job Reference Number:  20-PR-1
Posting/Closing Date:  January 30, 2020 to March 30, 2020
Workplace:  All buildings
Department or Service:  Department of Mathematics and Industrial Engineering

WORK ENVIRONMENT

Polytechnique Montréal promotes excellence, creativity, integrity, collaboration, respect, openness and diversity. Recognized as one of Montreal’s best employers, 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 favours its development and constitutes an undeniable catalyst for excellence in teaching, research and outreach activities. Accordingly, Polytechnique particularly encourages women, members of visible and ethnic minorities, Aboriginal people and persons with disabilities who have the required qualifications to apply. Accommodations can be provided based on the needs of the candidates.

Applying to Polytechnique means 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 teachers, the Department of Mathematics and Industrial Engineering is responsible for numerous programs and courses within the institution: the Bachelor of Industrial Engineering program, professional master’s and specialized graduate programs (DESS) in industrial engineering, master’s research and doctoral programs in industrial engineering and applied mathematics, as well as all mathematics and complementary studies courses.

POSITION SUMMARY

This position will address the teaching needs of courses belonging to the industrial engineering and research program in the fields of industrial data analytics and decision-making, with regard to production, transportation, handling, storage and project management processes. The position thus concerns all aspects of those processes, including ergonomics, health and safety, maintenance, product traceability, as well as operational and project management, planning and control. Moreover, this position’s activities fall within the framework of research conducted by the Poly-Industries 4.0 Laboratory and demonstrate Polytechnique’s interest in Industry 4.0, as illustrated by the many research projects conducted by Polytechnique’s professors regarding industry’s digital transition.

RESPONSIBILITIES

The successful candidate will be expected to carry out the duties of this position with a dynamic and creative approach. In particular, he or she will:

  • Demonstrate a commitment to excellence in teaching at both the undergraduate and graduate levels;
  • Supervise undergraduate and graduate students;
  • Carry out innovative research projects;
  • Obtain grants and contracts aimed at training highly qualified personnel through research work;
  • Publish the scientific results of his or her research;
  • Participate in the teaching and research activities of the Department;
  • Collaborate with other research teams within Polytechnique Montréal or with other institutions;
  • Contribute to the influence of Polytechnique Montréal in Québec and internationally.

AREA OF EXPERTISE

The Department is seeking a professor with expertise in one or more of the following areas:

  • Data preparation and cleansing;
  • Industrial data analysis and mining;
  • Prediction model, statistical learning, machine learning, artificial intelligence, recommender systems;
  • Industrial data visualization;
  • Production, manufacturing, logistical, handling, storage or project management processes.

STARTING DATE

June 1, 2020.

ESSENTIAL QUALIFICATIONS

The successful candidate must hold a degree in industrial engineering or the equivalent, and a doctorate (Ph.D.) in a relevant field. He or she is registered as a Professional Engineer with the Ordre des ingénieurs du Québec (OIQ), or will take the necessary measures to register prior to applying for tenure. Polytechnique Montréal will provide the necessary assistance and support for the successful candidate to become a registered member of the OIQ and to learn French.

He or she must demonstrate excellent research and teaching skills. Relevant industrial experience is an asset. Polytechnique Montréal recognizes that career breaks 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 in the recruitment process.

Since the language of instruction is French, the successful candidate must have sufficient proficiency in spoken and written French.

WORKING CONDITIONS

This faculty position is tenure-track. Salary and benefits will be set in accordance with the collective agreement in effect (Association des professeurs de l'École Polytechnique - APEP). 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/).

APPLICATIONS

Candidates are invited to submit an application that includes:

  • Their résumé;
  • A description of their area of expertise;
  • A statement of their teaching and training objectives;
  • A description of their proposed research objectives and program;
  • Official records of their university degrees;
  • 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 received no later than March 30, 2020, at 5 p.m., and submitted to:

Professor Yuvin Adnarain Chinniah, Director
Department of Mathematics and Industrial Engineering
Polytechnique Montréal
P.O. Box 6079, Station Centre-ville
Montreal, Québec H3C 3A7
CANADA

Email: magi@polymtl.ca

Examination of the 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. However, in accordance with immigration requirements, Canadians and permanent residents will be given priority.