Data Processing/Artificial Intelligence Engineer and Applications in Particle Physics H/F

CEA; Gif-sur-Yvette; Sur place; EUR 65 000 - 95 000; Plein temps

Résumé du poste

CEA is recruiting an Data Processing/AI Engineer to develop AI models for particle physics, addressing HL‑LHC data challenges at Saclay. You will work with physicists, computing engineers and ML researchers to advance event reconstruction and physics analysis.

The role focuses on self-supervised learning on simulated and real data, building data pipelines, and contributing to publications and presentations at international conferences.

Qualifications

• PhD in computational physics, signal processing/AI or related field.
• Good knowledge of particle physics and/or nuclear physics.
• Strong background in large-scale data processing and ML/DL (neural networks, transformers).
• Proficiency with Python AI/ML frameworks (PyTorch) and scientific Python ecosystem (NumPy, Pandas, Scikit-learn).
• Experience with Git and CI/CD for collaborative software development.
• Experience with HPC environments (GPU clusters, SLURM).

Responsabilités

• Design, train and evaluate AI model architectures for particle physics data.
• Develop self-supervised learning strategies using simulated and real LHC datasets.
• Create data processing pipelines, experiment tracking tools and physics benchmarks.
• Contribute to scientific and technical documentation, publications and international conference presentations.

Connaissances

Python

PyTorch

Machine learning

Deep learning

Data processing

HPC

Formation

PhD in computational physics

Particle/nuclear physics knowledge

Outils

Git

CI/CD

SciPy stack (NumPy/Pandas/Scikit-learn)

ROOT

Description du poste

Data Processing/Artificial Intelligence Engineer and Applications in Particle Physics H/F

Contrat: CDD

Location: Saclay, Gif-sur-Yvette

Employee level: Cadre 24

Irfu 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. The model will address the scientific and technological challenges of the High-Luminosity Large Hadron Collider (HL‑LHC), which is expected to increase the integrated luminosity of the current LHC by a factor of ten, generating unprecedented volumes of data. This initiative focuses on AI and algorithmic approaches for event reconstruction and physics analysis, covering Higgs boson physics, searches for physics beyond the Standard Model, heavy‑flavour physics and QCD phenomenology.

You will join a multidisciplinary team composed of particle physicists, scientific computing engineers and machine learning researchers.

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.

Qualifications

• 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

• Ability to work effectively in multidisciplinary teams and proactively propose new ideas.
• Pragmatic, rigorous and able to tackle complex problems under multiple constraints.
• Curious, adaptable, autonomous and possessing excellent interpersonal skills.
• Excellent written and spoken communication skills in both French and English, including technical English.

Languages

French and English (technical English proficiency required).