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sensing hardware platforms. Demonstrated experience in supervising the digital implementation of advanced DSP blocks on FPGA and ASIC platforms. Strong background in supporting the design and modelling
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undergraduate students, and technical personnel at the ElectroScience Laboratory (ESL); Leads and advances research and development on systems requiring the use of Field Programmable Gate Arrays (FPGAs); designs
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. (preferred) or M.Sc. in Electrical Engineering, Telecommunications Engineering, or a closely related field. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming
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of experience preferred, but fewer years may be considered if relevant. Proven skills in PCB design, FPGA development, and signal processing. Proactive, organized, and comfortable working in a multicultural
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. Nice to have: Practical experience with machine-learning frameworks (e.g., PyTorch). Prior tape-out experience (ASIC or a complex FPGA prototype) and familiarity with the digital back-end flow (synthesis
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development proposals and funding bids. The successful candidate will have significant prior experience of: power semiconductor switching converters such as oscilloscopes programming MicroSemi FPGAs in
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, Telecommunications Engineering, or a closely related field. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of Durham is about
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power