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Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (CEREMA)

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Post-doctorant(e) en IA guidée par la physique Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (CEREMA) in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 20, 2026

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Country

France

University

Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (CEREMA)

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Keywords

Computer Science
Electrical Engineering
Mathematics
Monte Carlo Simulation
Noise Reduction
Physics

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About this position

This postdoctoral project is part of RTE-DENSE and focuses on physics-guided artificial intelligence for accelerating radiative transfer simulations in dense media while preserving physical fidelity.

The successful candidate will contribute to WP2, working on methods that make Monte Carlo and transport computations faster and more efficient without degrading scientific quality. The work includes building high-fidelity simulation datasets from SWEET and reference solvers, studying learned guidance methods for volumetric transport, developing physics-constrained Monte Carlo denoising approaches, and designing learned operators for targeted sub-problems.

The position is embedded in the STI team of the DTerCE at CEREMA. The project is scientifically led by Amine Ben Daoued, with Frédéric Bernardin and Pierre Duthon also involved in the scientific co-supervision of WP2. The research environment combines simulation, machine learning, and numerical evaluation, with comparisons based on computational time, radiometric error, numerical stability, and robustness.

The role includes scientific reporting and contribution to a methodological publication.

Funding details

Available

How to apply

Apply through the job portal using the provided application link. Submit the requested application materials before the deadline. Follow any instructions on the portal carefully.

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