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/Qualifications PhD in computer science, electronics, physics, or equivalent. Experience in FPGA systems, resource-constrained algorithms, and ML for embedded systems. Interest in physics and cutting-edge
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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an FPGA-based digital low-level RF (LLRF) system for SRF cavity readout. You’ll refine the existing LLRF framework, integrate control and measurement algorithms, and lead in-situ commissioning. Additionally
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operation of these systems in the LHC and other CERN facilities; Develop, document and maintain protection electronics gateware and firmware based on either FPGA, microcontroller or other programmable devices
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Physics Beyond Colliders (PBC) programme within the LLRF section of the RF Group. You'll collaborate closely with SRF cavity experts and the wider QTI community. Your role involves rolling out an FPGA-based
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background in microfabrication. Further, experience with experimental setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets
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scale and scope. An invitation to join an environment like nowhere else on Earth. You will have the opportunity to work with cutting edge technologies (CPUs, GPUs, FPGAs) within the NextGen project and
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evolve the CMS Software into a distributed application, enabling it to run across multiple nodes and leverage remote accelerators like GPUs and FPGAs with minimal changes to the existing code. Focus will
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for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile You should have a PhD in physics, photonics or a related field, with a