Post-Doctoral Research Visit F - M Postdoctoral Position In Ml For Climate In Lyon France H/F - INRIA

A propos d'Inria

Inria, l'institut national de recherche dans les sciences et technologies du numérique, est en appui de l'État pour les stratégies nationales de recherche et d'innovation du numérique en tant qu'Agence de programmes. Inria mène plus de 300 projets de recherche et d'innovation avec ses 3500 scientifiques, ingénieurs et personnels d'appui, en partenariat avec les universités et l'écosystème numérique (entreprises, entrepreneurs, acteurs publics). Ensemble, nous explorons des domaines clés comme l'intelligence artificielle, la cybersécurité, l'informatique quantique, le Cloud, la transformation numérique de la santé, les jumeaux numériques ou encore les technologies numériques pour la défense. Nous construisons des solutions concrètes telles que des logiciels, des startups technologiques, des partenariats avec les entreprises du tissu national et des formations de pointe. Notre objectif : l'impact scientifique, technologique et industriel au service de la souveraineté numérique de la France.

Post-Doctoral Research Visit F/M Postdoctoral Position in ML for Climate in Lyon, France
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

A propos du centre ou de la direction fonctionnelle

The Inria research centre in Lyon is the 9th Inria research centre, formally created in January 2022. It brings together approximately 300people in 17 research teams and research support services.

Its staff are distributed in Villeurbanne, Lyon Gerland, and Saint-Etienne.

The Lyon centre is active in the fields of software, distributed and high-performance computing, embedded systems, quantum computing and privacy in the digital world, but also in digital health and computational biology.

Contexte et atouts du poste

Postdoctoral Position in ML for Climate in Lyon, France

Louis Couston from theClimate Physicsgroup and Ségolène Martin from the Inria OCKHAM team at ENS de Lyon, France, are 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, diffusion models, foundation models, and online training.

Prior experience in ML/AI is needed (ideally knowledge in generative modeling and imaging) but we do not require a background in oceanography. Review of applications starts November 2nd, 2026. Details available.

Mission confiée

Assignments:
With the support of researchers from the Climate Physics group and Inria OCKHAM team, the recruited person will develop machine learning methods (probably based on diffusion methods) to emulate polar ocean dynamics.

Collaboration:
The recruited person will collaborate with researchers in climate physics and machine learning, combining expertise in ocean modeling and artificial intelligence.

Responsibilities:
The recruited person will be responsible for designing, implementing, and evaluating machine learning models, and will take initiatives to explore new research directions.

Steering/Management:
The recruited person will manage their research activities and contribute to project meetings and scientific discussions.

Principales activités

Main activities:

- Develop machine learning models to emulate polar ocean dynamics.
- Explore physics-informed and generative modeling approaches.
- Evaluate model accuracy, generalization, and stability in online simulations.

Additional activities:

- Collaborate with researchers in machine learning and climate physics.
- Present research results at scientific meetings and conferences.

Compétences

Technical skills and level required :

Languages :

Relational skills :

Other valued appreciated :

Avantages

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage

Rémunération

2788 euros gross salary / month

• Anglais
• Machine learning