Tenure-Track Professor in Machine Learning and Signal Processing

il y a 6 jours


Paris, Île-de-France Ecole Centrale Paris Temps plein
Job Opportunity:

CentraleSupélec, a leading engineering school, is seeking a highly qualified Assistant Professor in Artificial Intelligence and Signal Processing. The successful candidate will join the IETR laboratory, a prominent research team tackling various scientific challenges associated with the digital transformation of society.

The teaching responsibilities for this position amount to 192 hours. The candidate will teach courses in statistical learning, artificial intelligence, and their methodological foundations such as statistics and optimisation. They will also be responsible for teaching techniques for processing large masses of data, specifically those aimed at processing temporal data (signal processing).

The Assistant Professor will be required to provide teaching in English and will deliver lectures for the apprenticeship track (FISA) in signal processing and for the "Digital and Living" concentration in the third year of the general engineering program.

Research activities will focus on statistical learning (machine learning), deep learning, optimisation, and/or signal processing. The research themes could be developed around applications related to the activities of the SIGNAL or AIMAC teams, which include (but are not limited to) the transmission and processing of information or the processing of audio and video signals for healthcare purposes.

The candidate will supervise projects and monitor internships. They will also be required to participate in research projects, including collaborative projects at national and international levels.

Qualifications and Experience:

  • Hold a Ph.D. and possess strong expertise in statistical learning and signal processing.
  • Have published articles in international journals as an author or co-author.
  • Demonstrate a passion for teaching, research (academic and contractual in relation to industry), and teamwork.
  • Be proficient in English.


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