Call for candidature: postdoctoral positions in Machine Learning/Artificial Intelligence at Télécom ParisTech, Institut Polytechnique de Paris, France
We are currently opening one 3-year and one 2-year postdoctoral positions in Machine Learning to join the chair “Data Science and Artificial Intelligence for Digitalized Industry and Services” at Télécom ParisTech (in the newly created Institut Polytechnique de Paris, France) to work on one of the following topics:
DSAIDIS, a 5-year chair sponsored by five major companies: Airbus Defense & Space, Engie, Idemia, Safran and Valeo, is holded by Prof. Florence d’Alché-Buc. Driven by the issue of decision-making in critical areas (defense, transportation, industry), the DSAIDIS scientific program puts emphasis on the critical issues of learning with guarantees (robustness, reliability, transparency) in the context of large, multi-modal, and weakly labeled data.
The postdocs are expected to have a strong background in both theoretical and computational aspects of Machine Learning. They will conduct researches on the cited topics with the team and participate to the supervision of PhD students. They will publish in the main top-ranked international conferences in Machine Learning. They will also actively contribute to the scientific animation of the Chair and will contribute to foster collaborations with the industrial partners on applications.
The successful candidates will hold a PhD in machine learning, statistics/biostatistics, computer science, have a strong publishing experience in peer-reviewed journals and conferences in Machine Learning and an excellent background in applied mathematics/statistics. Strong interest for computational aspects of Machine learning is expected as very good skills in programming (Python).
Needs to be discussed according the profile of the candidate.
Campus of Institut Polytechnique de Paris (25 km from Paris): Télécom Paris, 19 place Marguerite Perey, F-91120 Palaiseau with transportation.
Positions are available from November 20 or later, and for a duration of two years, with possibility of extension for a third year.
To apply, please use the form below, and prepare a single file containing a statement of research interests, a CV, a copy of relevant certificates, (p)reprints of two publications, and a list of two references.