Position Description

Professor in electrical engineering – Artificial Intelligence and Machine Learning
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Introduction - titre YOUR CAREER AT ÉTS 
Introduction - texte

L’École de technologie supérieur (ÉTS) is a rapidly evolving university in engineering and technology located in downtown Montreal. ÉTS offers undergraduate and graduate programs focused on applied engineering as well as state-of-the-art research infrastructure. ÉTS is also home to the Centech, a business incubator, offering support services for researchers wishing to commercialize their research.

 

By joining l’ÉTS, you will be joining a team of highly active professors and researchers in the school’s various research chairs, labs, institutes and groups. Your work will make a tangible contribution to scientific progress and the development of Quebec’s productivity and competitiveness, as well as the training of a highly qualified workforce.

 

What we offer : 

  • A start-up and an equipment fund to support your scientific career
  • Financial support for research and teaching (supervision of student’s recognition, teaching credits, correction help, etc.)
  • A personalized onboarding process
  • A structure to promote your research as well as networking activities to make yourself known and help you recruit students. 
  • A work environment favorable to your career development, for both research and teaching.
  • A mentor program for all faculty members offered at your arrival and throughout your career.
  •  Support for the immigration process and a relocation program for your family
  •  A full-course program to learn French.
Avantages - titre YOUR ADVANTAGES
Avantage 1 - texte COMPETITIVE SALARY
Avantage 2 - texte TELEMEDECINE
Avantage 3 - texte SPORTS CENTER ON SITE
Avantage 4 - texte GROUPE INSURANCE | PENSION PLAN
Avantage 5 - texte 3 MONTHS OF FREE PUBLIC TRANSPORT
Avantage 6 - texte PARKING AT COMPETTIVE PRICE
Avantage 7 - texte AND MUCH MORE...
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Rôle - titre OUR ELECTRICAL ENGINEERING DEPARTEMENT
Rôle - sous-titre

The Department of Electrical Engineering offers undergraduate and graduate programs that meet the needs of industry in the design of electrical, electronic, photonic and computer systems as well as their components. These programs are oriented towards computer systems, telecommunications, digital processing, industrial control, energy transport, vision and microelectronics. Faculty members lead numerous research projects, several of which are in close collaboration with industry, essentially around three major areas: power electronics and industrial control, telecommunications and microelectronics, and the field of imaging, vision and artificial intelligence.

    Rôle - texte
    Compétences - titre ABOUT THE POSITION
    Compétences - texte

    The ÉTS Department of Electrical Engineering is looking for professors with basic training in engineering and expertise related to artificial intelligence applied to the field of electrical engineering. The research and teaching activities of the people sought will join those already in place in the Department of Electrical Engineering.

     

    The desired person will be invited to collaborate with the department's research laboratories to apply A.I. in areas such as power electronics, embedded systems, intelligent monitoring and control (GREPCI), health technologies (LATIS), telecommunications, photonics, nanomaterials, management and network technologies (THE TOP).

     

    In terms of teaching, the person sought will be responsible for the development of new courses in the fields of machine learning and deep learning around the thematic axis on intelligent objects.

    Areas of expertise sought:

    The department of electrical engineering wishes to develop the research theme of artificial intelligence applied to the field of electrical engineering, including deep federated learning.

     

    Here are some examples of applications:

    • Smart electricity networks: optimization of distribution networks, predictive maintenance, breakdown prediction, sensor-data processing
    • Design and verification of microsystems assisted by AI.
    • Cybersecurity: anomaly and intrusion detection and fault identification
    • Processing of medical images and signals and diagnostic assistance
    • Transportation and aerospace
    • Embedded systems (Edge AI)
    Compétences - titre JOB DESCRIPTION
    Compétences - texte
    • Teach courses at both the undergraduate and graduate levels in fields related to electrical engineering;
    • Mentor graduate students;
    • Carry out funded, potentially interdisciplinary research projects with local, national and international partners;
    • Develop a research program;
    • Publish scientific articles;
    • Complete grant applications, particularly those directed at NSERC and FQRNT.

    Compétences - titre REQUIREMENT
    Compétences - texte

    • Hold or be about to obtain a Doctorate (PhD) in Electrical Engineering or in a relevant field for this position;
    • Be a member of the Ordre des ingénieurs du Québec (OIQ) or be eligible to join the OIQ and undertake the necessary steps to become a member before submitting an application for full professorship;
    • Have experience in conducting research in collaboration with industry or solid experience in industrial R&D;
    • Demonstrate excellent skills related to training highly-qualified personnel through research projects and teaching;
    • Be proficient in French (oral and written), in compliance with the ÉTS Language Policy (in French), or demonstrate a willingness to learn French and register to a French program with the support of ÉTS.
    Compétences - titre START DATE
    Compétences - texte

    Depending on the candidate’s availability

    Compétences - titre SUBMITTING AN APPLICATION
    Compétences - texte

    All applications will be processed in strict confidentiality.

    ÉTS will take into account any leaves that may result in career interruptions or delays. Therefore, we encourage you to mention any such leave that may have affected your professional path. We will take this information into consideration when evaluating your application.

    In case of a disability, we may offer accommodation measures during the hiring process.

     

    Interested candidates are invited to submit their application before 5:00 p.m. (EST) on September 8, 2024

     

    Each application must include the information indicated below in a single PDF document, in the following order:

    • An automated (dynamic) Table of Contents;
    • A cover letter;
    • Your curriculum vitae;
    • A statement of your teaching objectives;
    • Your research plan, including an indication of how your work complements the areas of research targeted by a department or research group at ÉTS;
    • A sample of your research achievements (e.g.: recent scientific articles).

    If you require more information, please contact bap-candidatures@etsmtl.ca   You must submit a complete application for it to be considered. Only those candidates who are retained for an interview will be contacted.

    Compétences - titre COMPENSATION
    Compétences - texte

    This is a tenure-track position. The process and benefits will be determined in accordance with the applicable collective agreement  convention collective de l’Association des professeurs de l’ÉTS (APÉTS).

    Compétences - titre IMMIGRATION REQUIREMENTS
    Compétences - texte

    In compliance with the immigration requirements in effect in Canada, ÉTS invites all qualified individuals to apply. However, priority will be given to Canadian citizens and permanent residents. When submitting an application, it is important to indicate whether you are able to work in Canada, so that the applicable immigration procedures can be planned accordingly.

    Job Category:
    Professor
    Job status:
    Full Time
    Job Code:
    2024-18
    Salary class:
    According to the current salary scales
    Department:
    Electrical Engineering Department
    Duration and shift:
    Full time
    Mandate start date:
    Flexible
    Deadline to apply:
    September 8th, 2024
    Internal name:
    Professor in electrical engineering –Artificial Intelligence and Machine Learning
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