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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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-power edge AI, microcontroller architectures, FPGA-based systems and VLSI, low-power and resource-constrained systems and analogue and mixed-signal systems. Publish high-quality outputs, pursue external
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working in one or more of the following industries: IC/semiconductor design; PCB/electronic systems design; embedded/FPGA system development. F2 Experience of working with electronic systems in
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communication skills. · Skills relevant to the trapping and manipulation of ultracold gases. Examples include basic electronics, development of FPGA devices, development of narrow-linewidth lasers, laser
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, Spice, MATLAB/SIMULINK. Embedded control design using DSPs, microcontrollers and/or FPGAs. Desirable: Familiarity of domestic wiring regulations Experience with Gallium Nitride (GaN) MOSFETs in switched