This position focuses on the development and deployment of beam optimisation and machine learning (ML) tools for the CERN ion accelerator complex. The objective is to transform expert-driven optimisation and ML methods into reliable operational solutions that enhance beam performance and support high-intensity operation.

Your responsibilities

• 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.

Be sure to meet the eligibility criteria

• You are a national of a CERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani, Lithuanian, Latvian, Cypriot and Croatian nationals, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
• By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
• You have never had a CERN fellow or graduate contract before.
• Please pay attention to the additional criteria and requirements for this specific position and mentioned above.