8 meilleures offres (python developer, switzerland) (à pourvoir)

Computational Physicist for Accelerators (BE-OP-SPS-2026-135-GRAP)
CERN —Genève, GE
- De 6 372 CHF à 7 004 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Analyse de données
- Formation sur place
Postuler rapidement
il y a 1 jour
Software Engineer II, Geo
Google —Zürich, ZH
- 100%
- Java
- Niveau Master
- C++
il y a 1 jour
UNPAID VOLUNTEER - Blockchain Software Developer (Technology Officer)
Digital Technology Institute for Development (DTID) —Suisse
- Télétravail
- Espagnol
- Niveau Doctorat
- Compétences rédactionnelles
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Senior Customer Solution Architect – AI & Automation (m/f/d)
CDQ AG —Suisse
- 100%
- Télétravail
- Anglais
- Niveau Master
- Esprit d'analyse
- Travail à domicile
De-Fi Engineer
G-20 Group —Zürich, ZH
- 100%
- Informatique
- Anglais
- C++
Postuler rapidement
6 h
Equity Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
- Analyse de données
- Niveau Master
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5 h
Index Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
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- Niveau Master
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G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
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- Niveau Master
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Computational Physicist for Accelerators (BE-OP-SPS-2026-135-GRAP)

CERN -
Genève, GE

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%
De 6 372 CHF à 7 004 CHF par mois
Il y a 1 jour

Avantages

Formation sur place

Qualifications

Français
Informatique
Niveau Doctorat
Analyse de données
Git
Anglais
Recherche
Niveau Master
Développement logiciel
Linux
Python

Description complète du poste

Job Description

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.

Your profile

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.
Experimental data analysis.
Spoken and written English, with a commitment to learn French.

Eligibility criteria:

You are a national of a CERN Member or Associate Member State.
You have a professional background in Applied Physics, Computer Science (or a related field) and have either:
- a Master's degree with 2 to 6 years of post-graduation professional experience;
- or a PhD with no more than 3 years of post-graduation professional experience.
You have never had a CERN fellow or graduate contract before.

Additional Information

Job closing date: 08.09.2026 at 23:59 CEST.

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 - Applied Physicist

Global Benefits

A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
Family, child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant and travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 36 months.
On-the-job and formal training including language classes.

Overview of CERN - Discover a world where the impossible is made possible!

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

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