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