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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Proven experience in portfolio/programme management with demonstrated team leadership, and successful implementation of portfolio
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. In this role, you will gain hands-on experience by setting up and configuring
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planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
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ambitious project. You should hold, or be close to completing, a PhD in a relevant field such as applied or pure mathematics, physics, control engineering, or computer science. You will join both the SAMS
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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. The successful candidates will undertake research into simulation-based
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. The successful candidate will undertake research into simulation-based
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development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
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Strong and relevant publication record (relative to career stage) Essential Application Computer programming skills and the ability to effectively manage and process experimental data Essential Application