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

NuovoCHF 60'500 - 91'500
CERN · Geneva, GENEVA, Switzerland (GE)
Categoria: Ricerca Contratto: full-time Salario: CHF 60'500 - 91'500
Vai alla candidatura
Località
Genève
Contratto
full-time
Pubblicato
Ieri
SalarioCHF 60'500 - 91'500

Panoramica

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!

Responsabilità principali

  • 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.

Requisiti principali

  • 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.

Azienda e contesto

  • 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

Dettagli ulteriori

  • 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

Note e contenuto originale

  • 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
Vai alla candidatura

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