AI-Driven Data Processing Engineer for Particle Physics

CEA; Saclay; On-site; EUR 70,000 - 95,000; Full time

Job summary

Irfu, based at Saclay, France, is recruiting an engineer specialized in data processing and AI/ML for its foundation model project on particle physics. You will work with physicists, computing engineers and ML researchers on developing AI methods for event reconstruction and physics analysis.

The role emphasizes self-supervised learning, HPC environments, and collaboration on publications at international conferences. Fluency in English and French is expected.

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 (NumPy, Pandas, Scikit‑learn).
• Experience with Git and CI/CD.

Responsibilities

• Design, train and evaluate AI model architectures for 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.

Skills

Python (PyTorch)

HPC / SLURM

Git / CI/CD

Transformer models

English / French comms

Education

PhD in computational physics or AI

Tools

ROOT

HDF5

Job description

Irfu, based at Saclay, France, is recruiting an engineer specialized in data processing and AI/ML for its foundation model project on particle physics. You will work with physicists, computing engineers and ML researchers on developing AI methods for event reconstruction and physics analysis.

The role emphasizes self-supervised learning, HPC environments, and collaboration on publications at international conferences. Fluency in English and French is expected.