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Professor in Electrical Engineering – Energy-Efficient Microelectronics Artificial Intelligence - Department

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: École Polytechnique de Montréal
Full Time position
Listed on 2026-09-23
Job specializations:
  • Engineering
    Electrical Engineering, Electronics Engineer, Systems Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 CAD Yearly CAD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Professor in Electrical Engineering – Energy-Efficient Microelectronics for Artificial Intelligence - Department of
Location: Montreal

Pursue a Career at Polytechnique Montreal Professor in Electrical Engineering – Energy-Efficient Microelectronics for Artificial Intelligence - Department of Electrical Engineering

Posting/Closing Date: September 14, 2026 to November 15, 2026

Workplace: All buildings

Department or Service: Department of Electrical Engineering

WORK ENVIRONMENT

Polytechnique is proud to be one of Media Corp 2026’s “Top 100 Employers in Montreal”

MORE DETAILS

Polytechnique Montréal is an internationally recognized engineering university. Located in the heart of Montréal on Mount Royal, it is renowned for the high quality of the training offered at all levels, and for its multidisciplinary and multisectoral research, at the forefront of the local, national and international engineering.

Proud of its 150th years of history, Polytechnique now welcomes more than 10,000 students and relies on the expertise of nearly 1,600 staff members with diverse skills, including more than 300 professors.

Polytechnique has been certified Gold by the STARS organization. Polytechnique is known for its innovative approach, and its active role in technological, economic, and social development. It values the diversity of its employees and adheres to an equal employment opportunity program for women, visible and ethnic minorities, Indigenous people and those with disabilities. Having received the Gold Parity Certification from Women in Governance, it offers excellent working conditions, focusing on work-life balance and the well-being of its employees.

JOB DESCRIPTION

The Department of Electrical Engineering has 31 professors, 3 teaching faculty members, 24 support staff members, 799 undergraduate students in Electrical Engineering, 189 undergraduate students in Biomedical Engineering, and 304 graduate students. The Department’s faculty members conduct cutting‑edge research in electrical engineering across a wide range of areas, including biomedical engineering, medical imaging, automation and control systems, energy and electrical networks, microelectronics, microsystems, microwaves, systems and telecommunications networks, and related fields.

The Department of Electrical Engineering invites applications for a position at the rank of Assistant, Associate, or Full Professor. Outstanding candidates at the rank of Full Professor will also be considered. The successful candidate must be able to deliver high-quality teaching at both undergraduate and graduate levels, demonstrate strong communication skills, show interest in industrial collaborations, and be committed to innovative teaching.

The Department is seeking candidates with demonstrated expertise in the design of digital or mixed‑signal integrated circuits and the ability to develop an internationally recognized research program focused on energy‑efficient circuits and hardware architectures for artificial intelligence and Internet of objects. The rapid development of artificial intelligence is accompanied by considerable growth in computing, memory, communication, and energy requirements. The position aims to develop new microelectronic technologies, integrated circuits, and hardware architectures that substantially reduce the energy consumption and hardware resources required by autonomous and AI systems, particularly by addressing computation, memory, data conversion, interconnects, and data movement.

Areas of interest include, but are not limited to, in‑memory and near‑memory computing; edge computing; low‑precision computing circuits and architectures, including binary architectures; neuromorphic and event‑driven architectures; specialized hardware accelerators for artificial intelligence; integrated circuits for high‑speed communications and AI infrastructure; low‑and…

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