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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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experience in modelling and developing quantum inertial sensors Ability to programme in Matlab is desirable Experience working with sensor fusion algorithms is desirable High level analytical capability
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compressible mixing, such as supersonic reacting flows relevant to high speed combustion problems and external aerodynamics. We expect that both the developed algorithms and the fundamental physics discovered
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neutral-atom quantum simulator. The post holder will interact with international collaborators to develop new algorithmic approaches to minimising the effects of first and second order phase transitions in
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Jeevartnam’s supervision. The successful applicant will join an interdisciplinary team at Surrey and will be primarily engaged in a project aiming to develop computational algorithms for the prediction
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AI algorithm learning when subjected to cyber attacks in Edge Computing environments. At the Edge AI Hub, you will join an internationally renowned and multi-disciplinary team co-led at Southampton Dr
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team under Prof Jeevartnam’s supervision. The successful applicant will join an interdisciplinary team at Surrey and will be primarily engaged in a project aiming to develop computational algorithms
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fundamental research protecting data quality and AI algorithm learning when subjected to cyber attacks in Edge Computing environments. At the Edge AI Hub, you will join an internationally renowned and multi
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://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification
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contemporary Machine Learning algorithms and toolkits. You thrive in collaborative environments and have the communication skills to work with a diverse range of stakeholders. Proficiency in managing research