Post-doctoral position in Machine Learning and Artificial Intelligence

Service : Image, Data, Signal Department
Localisation : 46 rue Barrault, Paris 13  until 3st of October  2019, and then Palaiseau

 

Position

We are currently opening two postdoctoral positions in Machine Learning to join the chair “Data Science and Artificial Intelligence for Digitalized Industry and Services” at Télécom Paris (in the newly created Institut Polytechnique de Paris, France) to work on one of the following topics:

  • Robustness and Interpretability for Trusted Machine Learning
  • Deep kernel learning for structured output prediction
  • Transfer Learning/Lifelong Learning

Qualifications

The postdocs are expected to have a strong background in both theoretical and computational aspects of Machine Learning. They will lead researches on the cited topics with the team and participate to the supervision of PhD thesis. They will also actively contribute to the scientific animation of the Chair and will collaborate with the industrial partners on applications.

The successful candidate 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).

Duration

Positions are available from July 2019 or later, and for a duration of two years, with possibility of extension for a third year.

Applying

To apply, please send via email, with the sentence “Postdoc application” as a subject, 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 to Pr. Florence d’Alché-Buc (florence.dalche*telecom-paris.fr) before September 20, 2019.

Contact

  • Florence D'Alché-BucEnseignant chercheur en traitement et fouille de données massivesTélécom Parisemailemail