Postdoctoral Position in ML for Climate in Lyon, France

When:
01/01/2027 – 02/01/2027 all-day
2027-01-01T01:00:00+01:00
2027-01-02T01:00:00+01:00

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

Laboratoire/Entreprise : Laboratoire de Physique, ENS de Lyon, UCBL
Durée : up to 3 years
Contact : louis.couston@ens-lyon.fr
Date limite de publication : 2027-01-01

Contexte :

Sujet :
The Climate Physics group at ENS de Lyon, France, is inviting applications for a postdoctoral position (up to 3 years, ERC IceAblation) on Machine learning emulators of polar ocean dynamics.

Can neural networks emulate chaotic, multi-scale ocean flows with tipping points beneath Antarctic ice shelves, generalize across regimes, and stay stable when coupled online to a numerical solver? We have ready-to-use NEMO simulation data and offer freedom to explore physics-constrained learning, foundation models, and online training.

Prior experience in ML/AI is needed but we do not require a background in oceanography. Review of applications starts November 2nd, 2026.

See attached document for further details.

Profil du candidat :
See attached document for details.

Formation et compétences requises :
See attached document for details.

Adresse d’emploi :
Laboratoire de Physique, ENS de Lyon, UCBL

Document attaché : 202610141613_ERC-oceanml-postdoc-2027.pdf