High-Level Trigger Calibration Scientist (EP-CMS-TDQGRAP)

The Compact Muon Solenoid (CMS) experiments High-Level Trigger as deployed during the LHCs 2009-2026 running period reconstructs high-energy proton-proton collision events using detector conditions that often lag behind the best available calibrations. Closing that gap by delivering near-real-time offline-quality calibrations to the online system also known as Optimal Calibrations is one of the central challenges of High-Luminosity (HL)-LHC operations and it is the challenge this role will face.

This position is part of the Next-Generation Trigger programme.

Your responsibilities

• Work with the CMS Detector Performance Groups (DPGs) and Physics Object Groups (POGs) to develop new and improve calibration algorithms.
• Maintain the successful NGT Demonstrator System developed during LHC Run 3 ensuring it remains operational and capable of running in replay mode against archived data throughout Long Shutdown 3.
• Building on the NGT Demonstrator System experience contribute to the design of a realistic production-grade NGT Data Acquisition and Calibration System implementing the Optimal Calibrations required for CMSs High-Level Trigger during the HL-LHC era. This includes exploring the design space across different compute and storage availability scenarios.
• Integrate and test the production-grade system within the CMS online infrastructure working closely with system administrators and software engineers to ensure seamless compatibility.
• Conduct thorough testing of the NGT system in a realistic environment simulating various LHC and CMS operational scenarios to assess performance and reliability.
• Produce detailed reports evaluating the impact of improved online calibrations on the physics performance of the High-Level Trigger.
• This role includes team supervision responsibilities.

Your profile

• Experience in the design development and validation of calibration workflows for high-energy physics experiments.
• Knowledge and application of Python and C programming as well as database management systems.
• Experience with Trigger and Data Acquisition (TDAQ) systems including their hardware and associated tools.
• Practical experience developing software algorithms within an integrated framework.
• Proficient use of software development tools (e.g. GitHub GitLab) and continuous integration practices.

Skills

• Knowledge of modern Git Python and C.
• Basic knowledge of DevOps and Continuous Integration (CI).
• Familiarity with high-energy collider and detector operations.
• Basic knowledge of high-energy physics.
• Spoken and written English with a commitment to learn French.

Eligibility criteria:

• You have a professional background in Applied Physics (or a related field) and have either:
  • a Masters 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.

Additional Information :

Job closing date: 05.10.2026 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: Hybrid

Target start date: 01-January-2027

This position involves:

• Work during nights Sundays and official holidays when required by the needs of the Organization.

Job reference: EP-CMS-TDQGRAP

Field of work: Applied Physics

Benchmark job: 200140 - Applied Physicist

Global Benefits

• A monthly net stipend of either 6372 or 7004 Swiss Francs per month depending on your degree.
• 30 days of paid leave per year plus 2 weeks annual closure.
• Coverage by CERNs comprehensive health insurance scheme (for yourself your spouse and children) and membership of the CERN Pension Fund.
• Family child and infant monthly allowances depending on your individual circumstances.
• A relocation package (installation grant and travel expenses) depending on your individual circumstances.
• Possibility to extend your contract up to 36 months.
• On-the-job and formal training including language classes.

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Remote Work :

No

Employment Type :

Full-time