-
obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
-
, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
-
of using FPGA tools and provide them the necessary training to use the ASIC tools. The team at Cambridge consists of three investigators: Prof. Robert Mullins (PI), Prof. Timothy Jones and Dr Rika Antonova
-
. · A PhD (or be close to submission) in atomic physics or a closely related area. 2. Experience · Experience in conducting high quality academic research. · Demonstrable ability
-
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
-
. · A PhD (or be close to submission) in atomic physics or a closely related area. 2. Experience · Experience in conducting high quality academic research. · Demonstrable ability