Computational Physicist for Accelerators (BE-OP-SPS-2026-135-GRAP) — CERN
- Ort
- Genève
- Vertrag
- full-time
- Veröffentlicht
- Gestern
Rollenüberblick
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. of CERN
Discover a world where the impossible is made possible!
- 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. of CERN
- Your responsibilities
- Contribute to the development and improvement of beam optimisation software tools for particle accelerators.
- Experience with scientific programming and data analysis, preferably using Python.
- Familiarity with numerical methods, optimisation techniques, or machine learning approaches is an asset.
Hauptaufgaben
- 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.
Wichtige Anforderungen
- 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. Skills Python.
- Scientific computing.
- Machine learning techniques & tools.
- Git.
- Linux.
Unternehmen und Kontext
- 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!
- TAKE PART!
- More information about us, here: careers.cern
Weitere Details
- The objective is to transform expert-driven optimisation and ML methods into reliable operational solutions that enhance beam performance and support high-intensity operation.
- Experience working collaboratively in multidisciplinary teams through academic or research projects.
- Spoken and written English, with a commitment to learn French. Eligibility criteria:
- Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-October-2026 Job reference: BE-OP-SPS-2026-135-GRAP Field of work: Applied Physics Benchmark job: 200140
Notizen und Originalinhalt
- Your profile
- Spoken and written English, with a commitment to learn French.
- Eligibility criteria:
- Contract duration: 24 months, with a possible extension up to 36 months maximum.
- Working hours: 40 hours per week
- Job flexibility: Hybrid
- Target start date: 01-October-2026
- Job reference: BE-OP-SPS-2026-135-GRAP
- Field of work: Applied Physics
- Benchmark job: 200140
Fragen zu dieser Stellenanzeige
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