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prototype (MIDAS) that integrates AI-based modules with optimisation engines to support low-carbon, cost-optimal datacentre microgrid design. To manage prototyping of the software platform - overseeing build
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of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. · On site nursery is available
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to ensure that system and processes are operating in an optimal and compliant way. Meet the professional development needs of your stakeholders by ensuring that a programme of training and learning activities
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improvement of a reliable, efficient, and future-ready electrical infrastructure across the campus. Working closely with Computing and Information Services (CIS), stakeholders and contractors, you will oversee
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research systems are configured in the most optimal and user-friendly way and that any associated training and communications will be delivered in a clear, concise and timely manner. You verify and authorise
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projects. Your responsibilities will include managing project lifecycles, analysing stakeholder feedback, and applying best practice principles to deliver optimal engineering solutions. You will also play
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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
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researchers to join a dynamic team working on an EPSRC-funded project, focused on both catalytic ammonia combustion and optimal design of innovative catalytic burners for real-world industry applications. As a
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Postdoctoral Research Associate in Non-Terrestrial Networks and Edge Computing ( Job Number: 25000480) Department of Engineering Grade 7: - £38,249 - £39,355 per annum Fixed Term - Full Time