Data Analyst for Beam Instrumentation

As an experienced Data Analyst with a solid background in physics, you will join the team responsible for the LHC Longitudinal Density Monitor within the Beam Instrumentation Group. You will lead the work on online and offline data processing pipelines implemented in Python, impacting calibration of LHC experiments and beam physics analysis, and contribute to R&D and optimisation for upcoming instrument upgrades.

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.

Requirements

• 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.
• 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.
• Studies focused on Applied Physics, Data Analytics.
• 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 State or Associate Member State.
• You have never had a CERN fellow or graduate contract before.

Skills

• Advanced Data Analysis
• Experimental Data Analysis
• Physics simulation
• Monte Carlo Simulation
• Laboratory Techniques
• Applied Physics
• Data Analytics
• Statistical Methods
• Data Modelling
• Scientific Data Analysis
• Python Programming
• NumPy
• Pandas
• SciPy
• Version Control Systems
• Git
• GitLab
• Continuous Integration
• Continuous Deployment
• Photon counting techniques
• Software Development
• Clean code development

Languages

English, French