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CEA Implementation of Machine Learning techniques H/F

Détail de l'offre

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



Description de la Direction

The Directorate for Fundamental Research (DRF) at the Commissariat à l'Energie Atomique (CEA), carries
out fundamental research in relation to the missions of the CEA in the fields of physics, chemistry and life
sciences, in which its excellence is internationally recognized.

Description de l'unité

Our offices are located at the Interactions, Dynamics and Lasers Laboratory (LIDYL), which is part of the
CEA's Institut Rayonnement Matière de Saclay (IRAMIS). IRAMIS carries out fundamental research on lasermatter interactions in the ultra-short pulse and Ultra-High Intensity (UHI) regimes. Within IRAMIS, LIDYL
hosts the cutting-edge ATTOLab-Orme (dedicated to ultrafast dynamics studies in the gas and solid phases
at the femtosecond and attosecond time scales) and UHI100 (devoted to high-intensity laser-matter
interaction studies including surface X-UV high-harmonic generation and laser-plasma accelerators) facilities.
The latter is based on a 100TW-class Titanium-Sapphire laser coupled to a new experimental area, which is
located (since 2021) on the Orme des Merisiers campus of the CEA Paris-Saclay center. The state-of-the-art
facility UHI100 now allows the use of two intense, synchronized laser beams with ultra-high temporal contrast.
This configuration enables the implementation of a large range of experiments, including laser-driven particle
acceleration in gases and X-UV relativistic high-harmonic generation on solids. The PHI group is also
involved in the development of the open-source, state-of-the-art, massively parallel Particle-In-Cell code
WarpX (Gordon Bell prize in 2022), which is an essential numerical tool to design/guide/interpret/ laser-matter
interaction experiments.

Description du poste





Intitulé de l'offre

CEA Implementation of Machine Learning techniques H/F

Statut du poste


Durée du contrat (en mois)


Description de l'offre

Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications.


Since the first experimental evidence for FLASH effect in 2014 with conventional accelerators, the worldwide community is actively working on trying to understand the basic mechanisms underlying the physical and biological process responsible for the increased preservation of healthy tissue surrounding the tumor treated with ultrashort electron bunches. LPAs are promising alternative sources to conventional accelerators for investigating the fundamental physico chemical processes underlying these biological effects.


The first phase of this project will be to implement a Machine Learning (ML) solution to optimize the properties of the electrons accelerated in our brand new 100 TW-class experimental facility, in order to irradiate various samples (biological, chemical …) for dosimetry and radiobiology experiments. This ML solution will leverage the numerous diagnostics that we have already installed in order to be able to control the properties of the laser and the plasma. As part of the EURO-LABS network (European Laboratories for Accelerator Based
Sciences), we will benefit from a ML toolkit, developed by GSI (Germany). This toolkit, originally conceived for conventional accelerators, will be adapted to the specificities of LPA and tested on our experimental facility for validation.

The second phase of the project will consist in using ML to implement a surrogate model able to predict the properties of the electrons accelerated with a LPA as a function of the laser and the plasma properties, over a large parameter space. The aim is to use this tool to reduce the need of costly Particle-In-Cell simulations, the numerical tool typically used to model LPAs. The surrogate model will be trained on numerical simulation results performed with the state-of-the-art Particle-In-Cell code WarpX and, depending on the availability, experimental results.


The third phase of the project would consist in coupling the output of Particle-In-Cell simulations or of the aforementioned surrogate model to a Monte Carlo code such as Geant4-DNA, in order to simulate the effect of electron bunches accelerated with LPAs on biological samples.



Depending on their interest, the postdoc may also be directly involved in experimental campaigns on the UHI100 laser facility at CEA or on other national and international laser facilities.


This project will benefit from the diverse expertise of the groups at CEA/LIDYL, as well as of their partners. In particular, the second and the third phase of the project will be carried out in collaboration with the Department of Accelerators, Cryogenics and Magnetism at the Institute for Research on the Fundamental laws of the Universe (CEA/IRFU)

Profil du candidat

Job type :

A fully funded 2 years position at CEA/IRAMIS. The preferred starting date for this position is around March/April 2024.

Required qualifications :

The candidate must have strong skills and interests in one or more of the following areas:

• Laser-plasma acceleration
• Particle-In-Cell simulations of laser-plasma interaction
• Machine learning techniques
• High-performance computing and parallel programming (CPUs and GPUs)

Good knowledge of the Python programming language is essential, while knowledge of C++ will be considered as an advantage.

A good knowledge of the English language is essential, at the level required to present results at international conferences and to write scientific papers.

Knowledge of the French language is not a requirement.


Application/selection procedure :

Candidates must apply online via the CEA career website via ( ) and by additionally emailing a complete file to and

The application file will contain:

• A CV
• A comprehensive record of professional achievements (publications, fellowships, awards …)
• A cover letter highlighting the motivations for applying to this position
• Contact information for 2 references that might be contacted

Application deadline: applications will be accepted until the position is filled

Contact: For more details about the position, please write to and


In line with CEA's commitment to the integration of disabled people, this job is open to all. The CEA offers accommodations and/or organizational possibilities for the inclusion of disabled workers.

Localisation du poste



Localisation du poste

France, Ile-de-France, Essonne (91)


Orme des Merisiers

Critères candidat


Anglais (Courant)


Disponibilité du poste