What you'll do
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, 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.
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Your profile
- 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.
- Your studies focused on Applied Physics, Data Analytics.
Your skills
- 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.
Employment conditions
- Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Global Benefits at CERN
Let's get you ready
Be sure to meet the eligibility criteria
- You are a national of a CERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
- By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
- You have never had a CERN fellow or graduate contract before.
- Please pay attention to the additional criteria and requirements for this specific position and mentioned above.
You will need these documents to complete your application
- Your CV (English or French)
- A copy of your most relevant diploma or a certificate of achievement from your school (if you don't yet have your paper diploma)
- Any document you consider relevant to your application