Professor in computer Engineering - Artificial intelligence and machine learning

Polytechnique Montreal
Montréal, Quebec H3T 1J4
  • Job Code
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  • Job Status
    Full Time
  • Shift
    1st Shift
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Position summary

Polytechnique Montréal promotes excellence, creativity, integrity, collaboration, respect, openness and diversity. Recognized as one of Montreal’s best employers, it offers excellent working conditions, notably by fostering its employees’ work-life balance and well-being. Polytechnique has an equal access employment program and encourages women, members of visible and ethnic minorities, Aboriginal people and persons with disabilities to apply. Accommodation can be provided at the request of persons with disabilities or based on other characteristics. 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 now numbers more than eight thousand five hundred students and relies on the expertise of more than a thousand persons with a wide variety of qualifications. In advocating sustainable development, Polytechnique stands out by its leading-edge innovations and its active role in technological, economic and social development. Polytechnique positions itself locally, nationally and internationally by favouring synergy among research ecosystems.

The Department of Computer and Software Engineering is located in the Lassonde buildings and enjoys spacious laboratories equipped with state of the art equipment. The department has 33 Professors, three Faculty Lecturers, 15 support staff, many postdoctoral researchers, professional researchers and research assistants, and more than 1200 undergraduate and 200 graduate students. It offers two undergraduate engineering degrees, in Computer and in Software Engineering, and several graduate degrees. The department leads internationally recognized research, in close collaboration with industry, in seven core areas: software construction and analytics, computer security and reliability, medical image computing, multimedia and digital entertainment, data science and artificial intelligence, and cyberphysical and embedded systems.

Major responsibilities

Successful candidate will be expected to carry out the duties of these positions with a dynamic and creative approach. In particular, he or she will:

  • initiate and carry out research projects supported by funding agencies;
  • initiate and carry out research collaborations with industry on original topics;
  • supervise graduate students;
  • teach undergraduate and graduate courses;
  • contribute to various administrative functions in Polytechnique Montréal;
  • participate in service functions towards the academic and professional communities and society.

New professors are provided with space, technical support and modern IT environments as well as with startup grants to help launch their research activities.


Start date

June 2019

Area of expertise

The Department of Computer and Software engineering is looking for candidates for a full time, tenure track faculty position in the field of artificial intelligence (AI) and machine learning. Candidates focusing their research towards natural language processing and reinforcement learning are of particular interest; however, candidates focusing on all sub-disciplines of AI are strongly encouraged to apply. This position also comes with the possibility for a successful candidate to become a member of Mila, the Quebec artificial intelligence institute and the possibility of being considered for a CIFAR research chair in AI.

Essential qualifications

Applicants must hold a PhD in computer engineering, software engineering, biomedical engineering, computer science or a related field. They should hold a bachelor’s degree in engineering. Industrial experience will be considered an asset.

Applicants must hold a solid record of research accomplishment showing their potential to develop and lead an independent research program, allowing them to obtain research financing in order to support graduate students.

Applicants must demonstrate excellent aptitudes for teaching, preferably attested by teaching evaluations. They will teach undergraduate courses in image processing, digital imaging and artificial intelligence. At the graduate level, they will be expected to create a new course related to their research expertise.

Applicants will have to hold the engineering permit issued by the Ordre des ingénieurs du Québec (OIQ) before tenure is obtained. The language of teaching is French; thus, successful candidates will have to demonstrate sufficient knowledge of spoken and written French shortly after the start of employment.

Conditions of employment

This faculty position is tenure-track. Salary and benefits will be set in accordance with the collective agreement ( The collective agreement includes benefits such as work-life balance and offers maternal, paternal and adoption leaves over and above those provided by the Québec Parental Insurance Plan (


Candidates should submit an application package that includes a detailed curriculum vitae, a statement of research and teaching goals, teaching evaluations and the names of three referees.
Applications must be received no later than February 1st, 2019, at 5 p.m., and submitted to:

Pierre Langlois, Eng., Ph.D.
Professor and Chair
Department of Computer and Software Engineering
Polytechnique Montréal

Applications must be submitted online using the following link:

This posting may be extended past February 1st, 2019.

Applications will begin as soon as possible and continue until the positions are filled.

We encourage all qualified candidates to apply; however, in accordance with immigration requirements, Canadians and permanent residents will be given priority.


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Professor in computer Engineering - Artificial intelligence and machine learning

Polytechnique Montreal
Montréal, Quebec H3T 1J4

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