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Field
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better ways to design neuromorphic or brain-inspired computing systems. These mechanisms must be energy-efficient, reconfigurable, and secure, especially for edge devices. This PhD project focuses
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ESA projects and carries out technological research and development (R&D) in the field of integrated circuits (ASICs, ASSPs, FPGAs, microprocessors and microcontrollers). Duties Reporting to the Head of
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regarding employment laws and regulations. Preferred Qualifications PhD. D in in Electrical or Computer Engineering and ten or more years of experience in digital or system architecture for SoC/FPGA/ASIC
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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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equivalent combination of skills and experience and 5 years of related experience. Advanced degree (PhD / MS) preferred; or an equivalent amount of education and experience. At least 3 years of Scientific
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Hardware Engineer in the Data Acquisition Hardware Group who will use your skills architecting, constructing and programming data acquisition hardware systems composed of field programmable gate array (FPGA
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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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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
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Qualifications: PhD in Electrical and/or Computer Engineering or closely related fields, with demonstrated knowledge and expertise in FPGA Design and signal processing Demonstrated experience with VHDL Hardware
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to prevent risks and issues, and mitigate those that emerge. Analyze FPGA hardware and software interface specifications described via VHDL or Verilog to ensure it meets system requirements. Analyze software