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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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respond to aerodynamic loads in real time, mimicking avian flight. You will adopt an integrated computational–experimental approach, including CAD for structural design, aeroelasticity modelling of aircraft
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expertise computational model development. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. What we can offer you: The opportunity to advance our
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sensor availability, remains an open research area, particularly when grounded in experimental hardware rather than purely theoretical models. The PhD aims to conduct underpinning research on the system
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interdisciplinary research environment is highly desirable but not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in
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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation
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power. This involves the design of fundamentally new alloys by computational methods; production through arc melting, powder metallurgy or additive manufacturing; characterisation using advanced electron