Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : LAMSADE, MILES Team
Durée : 2 ans
Contact : alexandre.allauzen@dauphine.psl.eu
Date limite de publication : 2024-06-24

Contexte :
Postdoc position in MILES Team (Paris Dauphine) on frugal ML and Deep-Learning for Physics

Sujet :
A postdoc position (2 years) is open in the MILES team at Université
Paris Dauphine PSL. Depending on the candidate background, potential
topics of interest include, but are not limited
– to fast and frugal adaptation,
– physics-informed foundation models for numerical simulation,
– data efficiency in training,
– theoretical guarantees of frugal deep learning
– Application to NLP and/or speech processing …

You can find more information in this document:
https://allauzen.github.io/assets/docs/Miles-SHARP-postdoc-fall-2024.pdf

Profil du candidat :

Formation et compétences requises :

Adresse d’emploi :
Université Paris Dauphine