Data Analyst for Beam Instrumentation

CERN; Genf; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

CERN in Geneva is seeking an experienced Data Analyst with a physics background to join the Beam Instrumentation Group and work on the LHC Beam Synchrotron Longitudinal Monitor (BSRL).

You will lead the redesign and optimization of online and offline Python data analysis software, develop specialized routines, and contribute to diagnostics and future upgrades through R&D collaborations.

Qualifikationen

• Advanced data analysis skills in a physics/engineering context.
• Strong programming proficiency in Python for data processing pipelines.
• Experience with beam instrumentation or accelerator physics is a plus.

Aufgaben

• Lead the redesign and optimization of online and offline Python data analysis software for the BSRL instrument.
• Develop specialised offline analysis routines using BSRL data and cross-correlate with other beam instrumentation.
• Extend the online and offline diagnostics tools and contribute to R&D for upgrades.

Kenntnisse

Python

Data analysis

Beam instrumentation

Physics

Ausbildung

PhD in Physics

Tools

NumPy

SciPy

Pandas

Jobbeschreibung

As an experienced Data Analyst with a solid background in physics, you will join the team responsible for the LHC Longitudinal Density Monitor (commonly known as the BSRL: Beam Synchrotron Radiation Longitudinal monitor) within the Beam Instrumentation Group.

In this role, you will lead the work on the online and offline data processing pipelines, which are fully implemented in Python. The analysis results from this instrument are mission-critical, directly impacting the calibration of the LHC experiments, facilitating the troubleshooting of operational issues, and enabling detailed beam physics analysis.

Additionally, you will play an important role in R&D and optimisation, conducting advanced studies to shape the upcoming upgrades of the BSRL instrument.

Your responsibilities

• 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,…