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the provision of support to student projects. · Experience in supply chain network design and logistic optimization. · Ability to contribute to the planning and management of independent research.
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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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regulations) and policies relating to activities carried out by your service. Use your leadership and management expertise to implement any significant changes in the optimal way, in collaboration with other
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structured cabling specifications in the University’s ‘Buiding Engineering Services Design Guidelines’, applying best practice principles to achieve optimal engineering design solutions. · Undertake
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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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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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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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systems to support specialized AI and LLM, and to empower the development and refinement of advanced algorithms for 6G communications, optimal grid management, renewable energy forecasting, and adaptive