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limited to digital electronics (including FPGAs and VHDL) distributed network control, Data Integration, Management and Cybersecurity and integration of hybrid/electric vehicles into energy infrastructure
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. Reconfigurable AI-Embedded Systems – Develop adaptive FPGA/ASIC architectures that dynamically reconfigure based on AI workloads, optimising performance, energy efficiency, and functionality. AI for High
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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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hardware design (Verilog/VHDL), FPGA-based acceleration, etc. Experience with deep learning frameworks like PyTorch, Keras, or TensorFlow, and tools such as Jupyter Notebook, is expected. A strong foundation
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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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: Experience of working on the design or construction of particle physics detector systems Experience with design and development of FPGA-based electronics including VHDL firmware Experience of working in
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to reconfigurable / FPGA platforms, formal methods for reliable digital design, and novel device and memory technologies for neuromorphic and edge-AI computing. Our impact spans multiple sectors, including
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analogue / digital / mixed-signal ICs and intelligent sensing to reconfigurable / FPGA platforms, formal methods for reliable digital design, and novel device and memory technologies for neuromorphic and
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of electronics platforms (such as Arduino, microcontrollers, and FPGA) to include programming of these devices. Specialist skills required in some or all the following: electronic system building and testing
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to suggest changes to prototype PCB or ASIC designs to improve the reliability and performance of interconnects for in-house and external projects. You will additionally be responsible for the training and