Postdoctoral researcher in accelerator physics: AI-based optimisation of the CIME cyclotron (European iRIS project) (M/F) - Ref. 478

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description GANIL is a partner in the European iRIS project (intelligent Research Infrastructure Sustainability, Horizon Europe, coordinated by CERN) ( https://www.irisproject.eu ). The project aims to reduce the environmental footprint of large research infrastructures using artificial intelligence methods. CNRS leads work package WP2 GreenBeam, dedicated to the AI-based optimisation of particle accelerator sustainability. The missions for this project are:. -Develop and validate the machine learning and optimisation methods needed to reach the project's contractual objective for the site: reduce set-up times by 30-50 %, by building surrogate models of the machine and closing the optimisation loop on the control system. -Lead GANIL's scientific contribution to the deliverable 'Operational accelerator data and instrumentation toolkit' (M13), for which CNRS is responsible, and contribute to the deliverables of the relevant work package. 1. Instrumentation and acquisition of CIME operational data (task T2.2, led by CNRS). — Define and implement the measurement procedures and instrumentation that link machine settings and beam performance on CIME; establish the pre-processing protocols and the associated feature sets. — Feed the project's FAIR (Findable, Accessible, Interoperable, Reusable) feature store and ensure the transferability of data and models to the other infrastructures of the consorti