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LPA Design Engineer (m/f/d)
Hamburg, Germany | Full-time | Permanent
The Opportunity
Our client is a specialist deep-tech business developing advanced laser-plasma accelerator technology for next-generation muon production and imaging.
They are looking for an LPA Design Engineer to lead the simulation, optimisation and physics-led design of a high-energy, high-charge laser-plasma accelerator.
This role combines accelerator physics, PIC simulation, numerical optimisation and machine learning, with a direct connection between computational research and experimental hardware.
Key Responsibilities
- Design and optimise plasma density profiles to maximise high-energy muon production.
- Develop and extend particle-in-cell (PIC) simulation workflows from reduced-dimensionality models to full 3D.
- Build efficient optimisation loops, including multi-objective optimisation of muon yield and radiation dose.
- Develop physics-informed surrogate models and digital twins of the accelerator.
- Conduct tolerance, sensitivity and jitter studies to establish robust operating points.
- Work with experimental teams to translate simulation results into practical accelerator designs.
What They're Looking For
- Strong background in laser-plasma accelerator physics, including injection, dephasing, depletion and guiding.
- Practical PIC simulation experience using FBPIC, WarpX or comparable codes.
- Experience with Bayesian optimisation or other multi-objective optimisation methods.
- Machine learning experience, particularly physics-informed surrogate modelling.
- Strong Python programming and scientific computing skills.
- Experience with HPC environments and large-scale simulation workflows.
What's On Offer?
- Direct ownership of the accelerator's physics and working point.
- Opportunity to see simulation work translated into real experimental hardware.
- Access to high-performance computing and specialist GPU infrastructure.
- Equity participation and competitive compensation.
- Relocation and visa support where required.
Interested?
If you specialise in laser-plasma physics, PIC simulations, computational optimisation or physics-informed machine learning, we'd welcome a confidential conversation.
Please apply to find out more.
