Lead Simulation Physicist - High-Performance Detector Simulation

European Organization for Nuclear Research

Location:
Geneva, Switzerland
Grade:
6
Category:
Professional Staff
Posted Jun 20, 2026Apply by Jul 17, 2026 (20d left)

Responsible for developing, maintaining, and validating physics simulation software for particle interactions in high-energy physics detectors. Focuses on detector and physics simulations for GPU and parallel computing architectures to support High-Luminosity LHC and future experiments.

Responsibilities

  • Further develop the Geant4-based GPU-enabled component, AdePT, ensuring its smooth integration into the LHC experiments' software frameworks, and lead the consolidation and implementation of key components, possibly including relevant physics processes.
  • Design and run regression tests comparing GPU results against CPU reference physics, ensuring no degradation in physics fidelity.
  • Coordinate with LHC experiments (ATLAS, CMS, LHCb, ALICE) and FCC studies to prioritise related developments.
  • Contribute to the overall project organisation, including work planning, organising workshops and training activities, and representing the project and its vision.
  • Engage with Geant4’s worldwide user community, foster collaboration within the SFT group, the EP department, CERN, and external partners, and encourage contributions from laboratories and universities.
  • Supervise team members and coordinate tasks relevant to the Geant4 project.

Requirements

  • PhD or equivalent relevant experience in the field of Physics or a related field.
  • Demonstrated experience with Monte Carlo techniques applied to particle transport simulation, particularly their implementation using modern software technologies and hardware architectures such as GPUs.
  • Proficiency in scientific computing and deep knowledge of advanced programming.
  • Knowledge in large collaborative software projects, particularly Monte Carlo simulation toolkits, relying on continuous integration, code reviews, as well as issue-based workflows.
  • Experience with tools and methods that support all phases of the life cycle of large scientific code bases particularly software design, development, testing, and performance optimisation.
  • A strong track record of scientific publications and high-level communication (for example, through invited conference presentations).
  • Experience in supervising and managing external contributors would be considered an advantage.

Skills

  • Monte Carlo Simulation
  • Particle transport simulation
  • GPU computing
  • Scientific Computing
  • Advanced programming
  • Software Design
  • Software Development
  • Software Testing
  • Performance Optimization
  • Continuous Integration
  • Code Reviews
  • Issue-based workflows
  • Large scientific code bases
  • Physics simulation software
  • Parallel Computing
  • Supervising contributors
  • Scientific Article Publication
  • Conference presentations

Languages

English, French