Computational Physicist for Accelerators (BE-OP-SPS-2026-135-GRAP)

Contribute to the development and improvement of beam optimisation software tools for particle accelerators. Analyse operational and instrumentation data to identify opportunities for improving beam performance and efficiency. Participate in the testing, validation and deployment of optimisation and ML tools in an operational environment. Develop automated procedures for accelerator setup, tuning and performance monitoring. Collaborate with accelerator physicists, operators and software developers to understand operational needs and implement practical solutions. Support beam commissioning and performance studies by applying data analysis and optimisation techniques. Document software developments, operational procedures and study results. Present progress and results at technical meetings and collaborate with experts from different disciplines.

At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe!

• Experience with scientific programming and data analysis, preferably using Python.

• Familiarity with numerical methods, optimisation techniques, or machine learning approaches is an asset.

• Interest in particle accelerators, beam physics, control systems, or large scientific facilities.

• Experience working with scientific software, simulations, or experimental data.

• Familiarity with software development tools such as version control systems (e.g. Git) is an advantage.

• Ability to analyse complex problems and develop practical solutions.

• Experience working collaboratively in multidisciplinary teams through academic or research projects.