
The operation of the Large Hadron Collider (LHC) relies on thousands of superconducting magnets, which are powered in more than 1500 circuits. Ensuring the safe functionality of the magnet circuit protection and interlock systems is a critical aspect of the LHC hardware commissioning.
As part of the Signal Monitoring (SigMon) project, you will design and develop Python-based software tools to automate large-scale data analysis. A strong focus is placed on modern software engineering practices, including continuous integration and testing within GitLab to ensure robust, maintainable and high-quality code. The role involves processing, analysing and visualising large datasets generated during hardware commissioning campaigns.
Your responsibilities:
Your profile:
Skills:
Eligibility criteria:
Job closing date: 30.04.2026 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: Fully Onsite
Target start date: 01-July-2026
Job reference: TE-MPE-PE-2026-93-GRAE
Field of work: Data Science & Data Analytics
Benchmark job: 200020 - Computing Engineer
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