Data Analyst for Beam Instrumentation

Lead the redesign and optimisation of the current online and offline Python data analysis software for the BSRL instrument to ensure scalability, performance and reproducibility. Develop specialised offline analysis routines using BSRL data, cross-correlating with other beam instrumentation where necessary, to meet the requirements of stakeholders. Extend the online and offline diagnostics tools, architecting automated notification systems to detect early signs of instrument degradation, anomalies, or malfunctions. Design and implement the specific software tools, calibration routines, and data pipelines required for the rapid commissioning of the renovated system after the Long Shutdown 3 (LS3). Contribute to the validation and performance verification of the associated upgraded hardware planned for deployment during LS3. Evaluate and benchmark different upgrade scenarios for LS3 by combining advanced data analysis of historical run data with physics-based simulation techniques.

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!

• Proven background in the advanced analysis of complex experimental data, preferably from physics or large-scale scientific installations.

• Extensive experience in software development with a strong emphasis on clean, maintainable code.

• Basic experience in Monte Carlo-based physics simulation techniques.

• Basic experience with laboratory work.

• In-depth knowledge of advanced statistical methods, data modelling, and data analysis techniques applied to scientific datasets.

• Proven proficiency in Python, including familiarity with the standard scientific stack (such as NumPy, Pandas, SciPy, etc) for high-performance processing.

• Knowledge of version control systems (Git/Gilab) and continuous integration and deployment (CI/CD)

• Basic knowledge of photon counting techniques would be advantage.

• Spoken and written English, with a commitment to learn French.

• You are a national of a CERN Member or Associate Member State.

• You have a professional background in Applied Physics, Data Analytics (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.