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CNRS

Just Landed

Chercheur(euse) post-doctorant(e) en physique des accélérateurs — optimisation par intelligence artificielle CNRS in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 27, 2026

Country flag

Country

France

University

CNRS

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Keywords

Computer Science
Electrical Engineering
Artificial Intelligence
Particle Accelerator Technology
Energy Efficiency
Reinforcement Learning
Accelerator Physics
Surrogate Modeling
Control System
Physics
ML

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About this position

This postdoctoral position is based at CNRS within the GANIL environment and contributes to the European iRIS project, coordinated by CERN, which aims to reduce the environmental footprint of large research infrastructures using artificial intelligence methods.

The successful candidate will work on the WP2 GreenBeam work package focused on AI-based sustainability optimisation for particle accelerators. The project combines accelerator physics, machine learning, beam-dynamics modelling, and control-system integration to shorten machine tuning times and improve operational efficiency.

The main scientific challenge is to develop and validate optimisation and learning methods that can build surrogate models of the accelerator machine and close the optimisation loop with the control system. The work is centred on the CIME accelerator and includes extracting operational data, constructing reusable feature sets, and supporting the project’s FAIR data infrastructure so that data and models can be transferred across consortium facilities.

The role also involves developing surrogate models from operational data and beam-dynamics codes, integrating them with design and optimisation frameworks used in the project, and applying advanced optimisation methods such as Bayesian optimisation and reinforcement learning for assisted machine tuning. The postdoc will interact with accelerator operators and control-room teams to test a closed-loop approach in which algorithms propose settings, operators validate them, and the machine adapts accordingly.

Another important dimension of the project is to assess and reduce the energy consumption associated with CIME operation and to quantify performance gains relative to the baseline. The work contributes to a deliverable on operational accelerator data and instrumentation toolkits and is connected to dissemination activities, consortium meetings, and presentations at major accelerator conferences.

The position is embedded in the research environment of the Grand Accélérateur National d'Ions Lourds, a national research infrastructure dedicated to ion-beam science.

Funding details

Available

How to apply

Apply through the listed government job portal using the provided application link. Follow the instructions on the posting and submit any required documents through that portal before the deadline.

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