Postdoc: ML Emulators for Polar Ocean Dynamics

Inria Villeurbanne; Villeurbanne; Presencial; EUR 37.000 - 48.000; Tempo integral

Resumo da vaga

Inria Villeurbanne invites applications for a postdoctoral position in machine learning to emulate polar ocean dynamics. The role, hosted by the Climate Physics group and Inria OCKHAM, focuses on developing ML methods (likely diffusion-based) to mimic ocean flows and evaluate stability when coupled to a numerical solver.

Candidates should have strong ML/AI experience, with emphasis on generative modeling or imaging, and a PhD in a relevant field.

Qualificações

• PhD in a relevant field with strong ML background.
• Experience with diffusion-based generative modeling.
• Ability to design and evaluate ML emulators for physical systems.

Responsabilidades

• Design, implement, and evaluate ML models for polar ocean dynamics.
• Investigate physics-informed and diffusion-based approaches.
• Collaborate with climate physics and ML researchers; prepare results for conferences.

Conhecimentos

Machine learning

Diffusion models

Generative modeling

Climate dynamics

Formação

PhD in a relevant field

Ferramentas

Python

NEMO data

PyTorch

Descrição da vaga

Inria Villeurbanne invites applications for a postdoctoral position in machine learning to emulate polar ocean dynamics. The role, hosted by the Climate Physics group and Inria OCKHAM, focuses on developing ML methods (likely diffusion-based) to mimic ocean flows and evaluate stability when coupled to a numerical solver.

Candidates should have strong ML/AI experience, with emphasis on generative modeling or imaging, and a PhD in a relevant field.