Postdoc: AI-Driven Accelerator Optimization

Cnrs Inc; France; On-site; EUR 42,000 - 65,000; Full time

Benefits offered by this job

53 days leave per year

Collective supplementary health insur.

Meal cost contribution

Transport costs or mobility allowance

Social Action Committee

Job summary

GANIL, a CNRS-led national research facility in Caen, France, seeks a Researcher with a PhD in accelerator physics or related field and strong ML expertise. The role focuses on AI-based optimisation of accelerator performance and energy efficiency within the iRIS project.

You will work with EPICS-based control systems and existing accelerator codes, contributing to deliverables and conferences. The candidate will report to the Accelerator Physics Group, interact with WP2 partners, and operate in

Qualifications

• PhD in accelerator physics, applied physics or a related field.
• Proven experience in applying machine learning to accelerators.
• Ability to present results in meetings and write progress reports.

Responsibilities

• Lead ML-based optimisation of CIME settings and surrogate models.
• Coordinate with operations, GANIL control room and WP2 partners.
• Document results for IPAC/ICALEPCS/MALAPA and deliverables.

Skills

Python

Machine learning

Beam dynamics

English fluency

Education

PhD in accelerator physics, applied physics or related field

Tools

XSuite/Cheetah

TraceWin

MAD-X

EPICS

Job description

GANIL, a CNRS-led national research facility in Caen, France, seeks a Researcher with a PhD in accelerator physics or related field and strong ML expertise. The role focuses on AI-based optimisation of accelerator performance and energy efficiency within the iRIS project.

You will work with EPICS-based control systems and existing accelerator codes, contributing to deliverables and conferences. The candidate will report to the Accelerator Physics Group, interact with WP2 partners, and operate in