Postdoc - Digital Twin and Surrogate Modelling of Laser-Electron Acceleration and -Seeded Free-Electron Lasers

Postdoc - Digital Twin and Surrogate Modelling of Laser-Electron Acceleration and -Seeded Free-Electron Lasers

HZDR - Helmholtz-Zentrum Dresden-Rossendorf

Dresden, Germany

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.

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