Postdoc (f/m/d) Digital Twin and Surrogate Modelling of Laser-Electron Acceleration and -Seeded Free-Electron Lasers

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Institute of Radiation Physics conducts research for states of matter under extreme conditions and in very small dimensions.

The Department of Laser Particle Acceleration is looking for a Postdoc (f/m/d) Digital Twin and Surrogate Modelling of Laser-Electron Acceleration and -Seeded Free-Electron Lasers. 

Your tasks

• Design and train data-driven surrogate models for laser-plasma acceleration (LPA) simulations
• Devise models to translate between distributions resulting from simulation and experiments
• Find LPA parameters to control efficiency and resulting electron bunch shape
• Match simulation results to virtual diagnostics of experimental LPA-FEL setup to understan LPA setup
• Integrate and unify simulation workflows and data-handling with ML workflows
• Close communication with experimental colleagues to understand the setup and communicate promising parameters to explore
• Publication of results in scientific journals and dissemination at conferences

Your profile

• Completed PhD in the field of Physics (Computational, Particle Physics, Optics, or related), Computer Science with a strong background in machine learning, statistics
• Experience in adaptive problem-solving and critical analysis of approaches and results (scientific method)
• Proficient in numerical modeling and computational workflows
• Experience with machine learning (incl. deep learning), statistics and global optimization methods
• Skilled in data post-processing, analysis, visualization, presentation and (computer-) experiment design
• Good programming skills in languages such as Python, Julia or C++ (at least two languages)
• Knowledge of modern deep learning frameworks (e.g. pyTorch, Tensor-flow, Jax, ...)
• Experience working in Linux shell/cluster environment and on shared resources
• Proficient with collaborative software development tools (e.g. version control: Git)
• Independent, investigative working style
• Actively seeking input and openly sharing results and knowledge in a team

Our offer

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
• We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.