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Field
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into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
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, especially precision/high sensitivity circuits (e.g. low current design). Experience writing software to run embedded systems – ideally FPGA code, but microcontroller also very welcome. Good communication
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preferred; Hands- on experience in one of the following areas and desire to cross the boundaries and learn new things Embedded software development for the FPGA / CPU SoC systems (for example, Zynq 7000, Zynq
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development lifecycle Detailed design of electrical systems including circuit design, FPGA development, and low-level software development and integration Analysis of alternative solutions and trade-space
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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 Section and within
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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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virtual reality systems, code language models, high-level synthesis, Bayesian neural networks, and FPGA-based acceleration. To apply as a Research Associate you must have a PhD (or equivalent) in
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experience or equivalent. • Knowledge with building embedded control systems in Python or C++/C#. • Experience in machine vision and/or industrial automation. • Experience with PCB design, DAQ, and FPGA
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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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should also be able program, at a basic level, hardware which utilises FPGAs and small embedded processors; these devices are increasingly being used for teaching/research within Electronic Engineering