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Particle Physics● OpenPreview

PhD in Higgs Boson Physics with CMS at École Polytechnique

Join a cutting-edge CMS experiment team to analyze LHC Run-3 data and develop next-generation calorimeter trigger systems for HL-LHC.

Best for:Best for physicists with a strong background in particle physics, programming skills, and a passion for experimental high-energy physics.

École Polytechnique · Île-de-France, France · R1 · First-stage researcher
More professors at École Polytechnique
Higgs boson physicsLHC Run-3 data analysisHigh-Granularity Calorimeter trigger systemsMachine learning in particle physicsStandard Model tests
Deadline
Dec 31, 2026
77 days
Funding
Salaried
€400 per year tuition fee; salaried position (details not specified)
Start date
2026-10-01
Full-time
Location
Île-de-France
France

Overview

This PhD position offers an opportunity to work at the frontier of particle physics within the CMS experiment at CERN. The successful candidate will investigate the Higgs boson through its H→ZZ decay channel using proton-proton collision data from LHC Run 3, aiming to improve precision measurements of Higgs production cross-sections and couplings. The role combines advanced physics analysis with technical contributions to the High-Luminosity LHC upgrade, specifically developing low-latency trigger algorithms for the High-Granularity Calorimeter. The candidate will engage in collaborative research, contribute to international data analyses, and participate in the preparation for HL-LHC operations.

Higgs bosonLHCCMS experimenttrigger systemsmachine learninghigh-energy physicsHL-LHCcalorimetry

What you'll do

  • Analyze proton-proton collision data from LHC Run 3 to study Higgs boson decays in the H→ZZ channel
  • Develop and optimize signal extraction techniques, including machine learning methods, for precision Higgs measurements
  • Combine results with data from previous LHC runs and ATLAS experiment for comprehensive analyses
  • Design and validate advanced trigger primitive generation algorithms for the CMS High-Granularity Calorimeter
  • Ensure algorithm performance under extreme pileup conditions for HL-LHC operations
  • Collaborate with international CMS teams on data analysis and hardware development
  • Present research findings at conferences and publish results in peer-reviewed journals
  • Contribute to the technical documentation and software frameworks for trigger system upgrades

Requirements

Degree required: Master's degree (M2) in Particle Physics or equivalent

Degree offered: PhD

Language: French: B1 (intermediate); English: B2 (upper-intermediate)

Instruction: English and French

Required skills
  • Strong background in particle physics
  • Proficiency in C++ and Python
  • Familiarity with data analysis frameworks (e.g., ROOT)
  • Understanding of statistical methods in physics
Nice to have
Experience with machine learning techniquesKnowledge of trigger systems or calorimetryPublication record in particle physics
Eligibility
  • Master's degree (or equivalent) in Particle Physics required
  • No nationality restrictions

Funding & terms

Type
Salaried
Amount
€400 per year tuition fee; salaried position (details not specified)
Duration
36 months
Programme
École Polytechnique
École Polytechnique

How to apply

Deadline: 2026-12-31

Submit a complete application package including CV, cover letter, academic transcripts, and two reference letters. Include a research statement outlining your motivation and relevant experience. Applications should be sent via email to the supervisor before the deadline.

Documents required
  • CV
  • Cover letter
  • Research statement
  • Master's degree transcripts
  • Two reference letters
✉Apply by email

Contact

Amina Zghiche· Supervisor

Amina.Zghiche@cern.ch

AZ
Prof.
Amina Zghiche
UMR 7638 LLR - Laboratoire Leprince-Ringuet
Lab
CMS group at École Polytechnique
École Polytechnique
France
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