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A leading scientific research center in Germany invites applications for postdoctoral positions focusing on real-time track reconstruction and machine learning. Successful candidates will work with advanced hardware and contribute to innovative research within the Belle II physics program. This is an exciting opportunity for those with a background in AI and embedded systems.
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18.11.2025
The Joint Real-Time Reconstruction AI Team of the Institute of Experimental Particle Physics (ETP) and the Institute for Information Processing Technology (ITIV) at the Karlsruhe Institute of Technology (KIT) invites applications for postdoctoral positions in real-time track reconstruction and the deployment of machine learning algorithms on embedded processors.
As part of the ErUM-Data DEEP consortium (erumdata-deep.de), you will prototype real-time Graph Neural Network algorithms for the Belle II tracking detectors, implement them on heterogeneous hardware including AMD Versal SoCs and Coarse Grain Reconfigurable Architecture AI cores, and contribute to a common transpiler toolchain based on ONNX and MLIR. Successful candidates will have the opportunity to spend part of their time working on accelerated ML applications on GPUs or other hardware, or the Belle II physics program.
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.