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demonstrate adaptive, light-driven networks that combine sensing, memory, and computation. The role is well suited to candidates who wish to further develop their expertise in neuromorphic technologies and
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requirements Essential: PhD (or near completion) or equivalent qualifications and experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related
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and growing Department with a concentration of scholars researching related themes in the Public Opinion Research Network and the Gender and Inequalities Centre. To be successful you will have completed
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the neural-network control of a tiled array of fibre lasers in a coherent beam combination architecture, for unlocking novel scaling and beam shaping capabilities in real-time. You will work at the
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to net‑zero carbon emissions. The project examines how future technologies, propulsion concepts, fuels, operational changes and behavioural shifts can together deliver more sustainable aviation. In
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laser’, through the neural-network control of a tiled array of fibre lasers in a coherent beam combination architecture, for unlocking novel scaling and beam shaping capabilities in real-time. You will
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
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warm and recover in a net-zero future. As part of this project, you will (i) quantify global and regional patterns of asymmetric climate recovery using CMIP6 Ramp-Up–Ramp-Down and Zero-Emission