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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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implementing quality assurance and quality control (QA/QC) test Designing testbenches, and contributing to firmware programming for state-of-the-art FPGA architectures, primarily Intel FPGAs. Collaborating
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turbulence. Experience with GPU programming, FPGA, and DNN in image recognition is a great plus. Track record of publications and conference presentations. Experience with hands on lab work. FLSA Exempt Full
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strong background in software development (Python, C++) and microscope control. • Experience FPGA programming is a beneficial. • Training and supervision will be provided throughout the project, but
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microfabrication steps such as basic lithography. Computer programming skills sufficient to run and modify custom software to capture and analyze data from instruments, FPGA boards, etc. Advanced microfabrication
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properties of matter. This includes developing technologies such as gas/liquid ionization detectors, cutting-edge FPGA-based electronics, and sophisticated digital signal processing systems. Position Overview
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provide a performance or efficiency advantage, and determine scenarios where conventional AI accelerators (such as embedded GPUs or FPGA-based accelerators) remain more appropriate due to data
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multilayer PCB, FPGA programming, embedded systems, and preferably ASIC-design. Knowledge in Systems Engineering, particularly in Space and Defence is highly regarded. You will also demonstrate personal
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developing integrated systems to automate the acquisition and interpretation of neutron scattering data. You will contribute to the development of FPGA tools for real-time processing of live neutron