CEA

Using generative AI to simulate chemically disordered nuclear materials at the atomic level H/F

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Job Description

Informations générales

Entité de rattachement

Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.

Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.

Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.

Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :

  • La conscience des responsabilités
  • La coopération
  • La curiosité

Référence

2026-41364

Description de l'unité

Le LNHB, est le laboratoire national de métrologie pour la dosimétrie, essentiellement dans les domaines de la radiothérapie, de l'imagerie médicale ainsi que de la radioprotection des patients et des travailleurs. Il a pour mission la maîtrise et la connaissance la plus précise possible des doses délivrées, notamment au patient en radiothérapie et en imagerie. Pour remplir cette mission, le LMD développe de l'instrumentation (calorimétrie, ionométrie, gels ou solutions dosimétriques, dosimétrie par alanine, spectrométrie X), utilise des logiciels de pilotage des chaines de mesures (LABVIEW) et de traitements de données (PYTHON), et maîtrise et utilise plusieurs codes de transport des rayonnements dans la matière (PENELOPE, MCNP, EGS). L'activité du LMD est, pour sa majeur partie, réalisée sur la plateforme DOSEO (www.plateformedose.com), plateforme des technologies pour la radiothérapie et l'imagerie associée.

Description du poste

Domaine

Mathématiques, information scientifique, logiciel

Contrat

Post-doctorat

Intitulé de l'offre

Using generative AI to simulate chemically disordered nuclear materials at the atomic level H/F

Sujet de stage

This postdoc aims to enhance PULSE, a generative (VAE) method revolutionizing predictions for disordered materials. You'll improve its accuracy, uncertainty quantification, and transition to a continuous latent space within a CEA consortium combining nuclear physics and AI.

Durée du contrat (en mois)

24

Description de l'offre

How do you predict a material's properties when the number of possible atomic configurations exceeds 2^2500? That is the bottleneck our IRESNE (nuclear fuel physics) and LIST (AI) teams have just cracked with PULSE, a generative (VAE) method published in Nature Scientific Reports, already cutting computational cost by more than two orders of magnitude (22,282 CPU hours down to 85 on a test case). With no known equivalent in the international literature, PULSE positions CEA as a pioneer in generative sampling of the configuration space of chemically disordered materials.

This 24-month postdoc gives you the opportunity to drive this method toward its next generation, leading three ambitious, parallel research axes: pushing model accuracy on systems of several thousand atoms with an IWAE architecture; equipping it with the ability to quantify its own uncertainty — a prerequisite for any use in nuclear safety; and, in the second year, tackling a high-value exploratory axis — generalizing PULSE to a continuous latent space, opening the door to any disordered crystal or alloy.

You will work at the heart of an all-CEA consortium bringing together two complementary strengths — atomistic nuclear fuel physics at IRESNE and state-of-the-art generative AI at LIST — with access to CEA supercomputers, the freedom to publish in top-tier journals, and the prospect of seeing your results feed directly into reactor safety analyses through the PLEIADES platform.

A position built for a curious mind who wants to combine cutting-edge generative AI research with concrete impact on a strategic nuclear-energy challenge.

#CEA-List ; #Research Engineer

Profil du candidat

You hold a PhD in Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch.

Applications from statistical physicists are welcome.

STILL HESITATING?

The additional benefits of your mission might interest you:

  • A cutting-edge research ecosystem, unique in its field and dedicated to high-impact societal themes, giving meaning to your work.
  • Training programs to strengthen your skills, acquire new ones, and enhance your mission.
  • A work-life balance recognized by our team members.
  • Remote work options to reduce commuting time and improve your quality of life.
  • A rich employee benefits committee (CE) with social, cultural, and sports activities.
  • A dynamic workplace at the heart of a vibrant hub, surrounded by schools and tech companies.

Interested? Apply—this position is perfect for you!

In line with the CEA’s commitment to inclusivity, this role is open to all. The CEA offers accommodations and/or organizational adjustments to support workers with disabilities.

Localisation du poste

Site

Saclay

Localisation du poste

France

Ville

Saclay

Demandeur

Disponibilité du poste

01/11/2026

CEA

About CEA

The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"​). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future.

The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research.

The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union).

The CEA had a budget of 4,3 billion euros.

The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.

Industry
Biotech & Life Sciences
Company Size
10,000+ employees
Headquarters
Paris, FR
Year Founded
Unknown
Website
cea.fr
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