Annonce en lien avec l’Action/le Réseau : aucun
Laboratoire/Entreprise : DANTE team at ENS de Lyon
Durée : 2 years
Contact : remi.gribonval@inria.fr
Date limite de publication : 2020-02-28
Contexte :
The DANTE team at ENS de Lyon, France is seeking highly qualified candidates for a postdoctoral position on the algorithmic and mathematical foundations of resource-efficient machine learning, in the context of the ACADEMICS project (Machine Learning & Data Science for Complex and Dynamical Models) funded by the IDEXLyon.
Sujet :
Sample research topics include (download pdf version of the offer at http://people.irisa.fr/Remi.Gribonval/wp-content/uploads/2019/11/Postdoc-position-open-at-ENS-de-Lyon-2019.pdf):
-Expressivity and Robustness of Sparse Deep Networks;
-Provable Algorithms for Sparse Deep Learning;
-Random Sketches for Efficient Manifold & Graph-based Learning.
Profil du candidat :
The recruited postdoc will conduct a vigorous research program within the scope of the ACADEMICS project, and is expected to show independence and team working attitude at the same time.
Formation et compétences requises :
The successful candidate, which can come from different areas (applied mathematics and statistics, signal processing, machine learning, information theory, computer science) is expected to bring expertise to the ACADEMICS task force and will be encouraged to develop collaborations with other groups at ENS de Lyon.
Adresse d’emploi :
Location : http://www.ens-lyon.fr/en/
Applicants are requested to send a detailed CV, a list of publications and a brief statement of research interests. This material, together with two letters of reference, shall be sent to Rémi Gribonval