Professor of Electrical Engineering - Information theory, coding, machine learning or signal pr[...]

Professor of Electrical Engineering - Information theory, coding, machine learning or signal processingJob Reference Number: 24-PR-9Posting/Closing Date: August 19, 2024 to October 31, 2024Workplace: All buildingsDepartment or Service: Department of Electrical EngineeringWORK ENVIRONMENTPolytechnique 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 150 years of history, it now welcomes close to 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 STARS (Sustainability Tracking, Assessment & Rating System). 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.JOB DESCRIPTIONThe Department of Electrical Engineering is seeking applications for the tenure-track position of assistant or associate professor. Outstanding candidates for a full professor position will also be considered. Candidates should have the ability to conduct cutting-edge research at the international level, with excellent communication skills, an interest in industrial collaborations and a passion for engaging and innovative teaching.This position should be filled by a candidate whose expertise and research program are focused mainly on information theory, coding theory, machine learning theory or signal processing theory for new applications such as the study of statistical and algorithmic principles of machine learning, the interpretability of machine learning, collective intelligence, quantum technologies, millimeter and terahertz-wave wireless communications, distributed systems, and large-scale information networks, with a particular emphasis on security, privacy, reliability and connectivity.RESPONSIBILITIESThe successful candidate will carry out the responsibilities of this position with dynamism and creativity. Among other duties, they will:Demonstrate a commitment to excellence in teaching at the undergraduate, graduate and doctoral levels;Supervise undergraduate, graduate and doctoral students;Carry out innovative research projects;Obtain grants and contracts aimed at supporting research work;Publish the scientific results of this research;Participate in the department's teaching and research activities;Collaborate with other research teams at Polytechnique Montréal or other institutions;Contribute to enhancing Polytechnique Montréal's visibility and influence in Québec and internationally.PROFILE AND JOB REQUIREMENTSThe candidate will meet the following requirements:Hold a PhD in engineering or equivalent in a relevant field;Have a proven track record of developing and conducting an independent research program;Demonstrate excellent teaching skills, if possible supported by teaching evaluations;Be able to contribute positively to the department's working environment and adhere to Polytechnique's values;Be a member of the Ordre des ingénieurs du Québec (or take necessary steps to become a member before being granted tenure);Have a sufficient command of oral and written French before submitting their tenure file.APPLICATIONSCandidates are invited to submit an application file that includes:A CVA statement of main achievements and teaching philosophyA statement of major research achievements and prospectsProof of university degreesUp to three significant contributions related to the positionTeaching evaluations, if availablePolytechnique Montréal is an equal-opportunity employer and therefore encourages women, Aboriginal peoples, members of visible and ethnic minorities and people with disabilities who meet the job requirements to apply.START DATEAs soon as possible.

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