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, or fibre-based optical clock comparison and dissemination. Experimental automation Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.
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, the work might be extended to explore novel FPGA based systems for atom interferometry with ultra-cold quantum gases. BECCAL is a large joint endeavor by NASA and DLR (Deutsches Zentrum für Luft- und
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++, Python. Experience with Machine learning technologies (e.g., LLM, and Machine Learning) is an advantage Experience with Hardware, e.g., FPGA acceleration, is an advantage. Excellent communication skills
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systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU acceleration is a plus. Strong leadership, communication, and documentation skills.
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. Experience in hardware–software integration, GPU/FPGA acceleration, or translation of research into prototype systems would be an added advantage. Ability to work independently while contributing effectively
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should have experience in real-time processing or FPGA-based prototyping or embedded sensing architectures, or machine-learning-driven analysis for photon-limited measurements. Exposure to event-driven
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on DSP, FPGA or embedded control platforms. · Experimental testing, commissioning and troubleshooting of electrical drive systems. · Analysis and interpretation of electrical drive and control performance
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coarse grained reconfigurable arrays (CGRAs), virtualisation of FPGAs using partial reconfiguration, and accelerator support for machine learning. Postdocs at KAUST enjoy generous salaries and free