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Field
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a suit of fast electronics (FPGA) that will allow the following achievements: 1) To rapidly repeat single-particle experimental dynamical trajectories to gain sufficient counting statistics in order
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exposing hardware accelerators, such as GPUs and FPGAs, in a seamless and portable way. This includes designing execution logic and resource-scheduling strategies that make efficient use of available
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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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/Qualifications Candidates must have obtained their PhD in computer science or electronics with a specialization in embedded systems or hardware design within the last three years. · Solid background in
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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. The successful candidate is expected to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field
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) for test automation; Experience with FPGA design and programming (e.g., VHDL, Verilog); PhD in Electrical Engineering, Applied Physics, or a related field with a focus on Hardware development. Personal
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communication, simulation, and cybersecurity. Prepare technical documentation, reports, and system design descriptions to support ongoing projects. Job Requirements PhD or MSc/MEng in Physics, Electrical
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using state-of-the-art techniques. Develop bytecode to test and analyze VHDL for FPGAs and ensure hardware interfaces and controls meet the intended design. Who you are You have a BS with 10 years