Data Processing/Artificial Intelligence Engineer and Applications in Particle Physics H/F
Il y a 7 jours
Orsay, Île-de-France
CEA
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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.
Vous envisagez de postuler à cet emploi ? N'attendez pas, faites défiler la page et envoyez votre candidature dès que possible pour ne pas la manquer.
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 2026-41044 Description de la DirectionIrfu (Institute for Research on the Fundamental Laws of the Universe) is a CEA Paris-Saclay institute dedicated to exper-imental research in fundamental physics.
Nearly 600 physi-cists, engineers and technicians are involved every day in international research projects in particle physics, astrophys-ics and nuclear physics.
Description de l'unitéIrfu brings together teams of physicists and engineers in-volved in the major experiments at particle accelerators, par-ticularly at the LHC (ATLAS, CMS, LHCb), and in the prepa-ration of the High-Luminosity LHC (HL-LHC).
These experi-ments generate enormous volumes of data and require inno-vative artificial intelligence and machine learning approaches to extract their full physics potential.
Irfu also brings together research engineers specialized in advanced numerical methods, large-scale data processing and the application of AI to experimental physics.
Description du poste
DomaineMathématiques, information scientifique, logicielContratCDDIntitulé de l'offreData Processing/Artificial Intelligence Engineer and Applications in Particle Physics H/FStatut du posteCadreDurée du contrat (en mois)24Description de l'offreIrfu is recruiting an engineer specialized in data processing and artificial intelligence (AI) / deep learning as part of the development of a foundation model dedicated to particle physics to address the scientific and technological challenges of the High-Luminosity Large Hadron Collider (HL-LHC).
Scheduled to begin operation around 2029, the HL-LHC will increase the integrated luminosity of the current LHC by a factor of ten, producing unprecedented volumes of data (on the order of several exabytes over its lifetime).
This major evolution makes the development of new AI and algorithmic approaches essential, particularly for event reconstruction and physics analysis.
Scientific objectives include Higgs boson physics, searches for physics beyond the Standard Model, heavy-flavour physics and QCD phenomenology.
Within this context, Irfu is developing a foundation model trained on large volumes of simulated and/or real data from the ATLAS, CMS and LHCb experiments to enable efficient transfer learning (fine-tuning) for a wide range of downstream physics tasks.
This approach is directly inspired by the success of large language models (LLMs) and vision foundation models.
You will join a multidisciplinary team composed of particle physicists, scientific computing engineers and machine learning researchers.
Main
responsibilities:
• Design, train and evaluate AI model architectures adapted to particle physics data.
• Develop self-supervised learning strategies using simulated and real LHC datasets.
• Develop data processing pipelines, experiment tracking tools and physics performance benchmarks.
• Contribute to scientific and technical documentation, publications and presentations at international conferences.
Profil du candidatLET’S TALK ABOUT YOU
• PhD in computational physics, signal processing/AI or a related field.
• Good knowledge of particle physics and/or nuclear physics.
• Strong background in large-scale data processing and machine learning/deep learning (neural networks, transformers, etc.).
• Proficiency with Python AI/ML frameworks (PyTorch) and the scientific Python ecosystem (NumPy, Pandas, Scikit-learn, etc.).
• Experience with collaborative software development tools such as Git and CI/CD.
• Experience working in high-performance computing environments (HPC, GPU clusters, SLURM).
Additional assets:
• Knowledge of HEP data formats and tools such as ROOT and HDF5.
• Experience with particle-physics-specific architectures (ParticleNet, PELICAN, Particle Transformer, JetGPT, OmniJet, etc.).
• Experience publishing scientific papers or contributing to HEP-ML open-source software.
Personal
skills:
• A
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.
Vous envisagez de postuler à cet emploi ? N'attendez pas, faites défiler la page et envoyez votre candidature dès que possible pour ne pas la manquer.
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 2026-41044 Description de la DirectionIrfu (Institute for Research on the Fundamental Laws of the Universe) is a CEA Paris-Saclay institute dedicated to exper-imental research in fundamental physics.
Nearly 600 physi-cists, engineers and technicians are involved every day in international research projects in particle physics, astrophys-ics and nuclear physics.
Description de l'unitéIrfu brings together teams of physicists and engineers in-volved in the major experiments at particle accelerators, par-ticularly at the LHC (ATLAS, CMS, LHCb), and in the prepa-ration of the High-Luminosity LHC (HL-LHC).
These experi-ments generate enormous volumes of data and require inno-vative artificial intelligence and machine learning approaches to extract their full physics potential.
Irfu also brings together research engineers specialized in advanced numerical methods, large-scale data processing and the application of AI to experimental physics.
Description du poste
DomaineMathématiques, information scientifique, logicielContratCDDIntitulé de l'offreData Processing/Artificial Intelligence Engineer and Applications in Particle Physics H/FStatut du posteCadreDurée du contrat (en mois)24Description de l'offreIrfu is recruiting an engineer specialized in data processing and artificial intelligence (AI) / deep learning as part of the development of a foundation model dedicated to particle physics to address the scientific and technological challenges of the High-Luminosity Large Hadron Collider (HL-LHC).
Scheduled to begin operation around 2029, the HL-LHC will increase the integrated luminosity of the current LHC by a factor of ten, producing unprecedented volumes of data (on the order of several exabytes over its lifetime).
This major evolution makes the development of new AI and algorithmic approaches essential, particularly for event reconstruction and physics analysis.
Scientific objectives include Higgs boson physics, searches for physics beyond the Standard Model, heavy-flavour physics and QCD phenomenology.
Within this context, Irfu is developing a foundation model trained on large volumes of simulated and/or real data from the ATLAS, CMS and LHCb experiments to enable efficient transfer learning (fine-tuning) for a wide range of downstream physics tasks.
This approach is directly inspired by the success of large language models (LLMs) and vision foundation models.
You will join a multidisciplinary team composed of particle physicists, scientific computing engineers and machine learning researchers.
Main
responsibilities:
• Design, train and evaluate AI model architectures adapted to particle physics data.
• Develop self-supervised learning strategies using simulated and real LHC datasets.
• Develop data processing pipelines, experiment tracking tools and physics performance benchmarks.
• Contribute to scientific and technical documentation, publications and presentations at international conferences.
Profil du candidatLET’S TALK ABOUT YOU
• PhD in computational physics, signal processing/AI or a related field.
• Good knowledge of particle physics and/or nuclear physics.
• Strong background in large-scale data processing and machine learning/deep learning (neural networks, transformers, etc.).
• Proficiency with Python AI/ML frameworks (PyTorch) and the scientific Python ecosystem (NumPy, Pandas, Scikit-learn, etc.).
• Experience with collaborative software development tools such as Git and CI/CD.
• Experience working in high-performance computing environments (HPC, GPU clusters, SLURM).
Additional assets:
• Knowledge of HEP data formats and tools such as ROOT and HDF5.
• Experience with particle-physics-specific architectures (ParticleNet, PELICAN, Particle Transformer, JetGPT, OmniJet, etc.).
• Experience publishing scientific papers or contributing to HEP-ML open-source software.
Personal
skills:
• A
