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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
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recovery. Through real-world testing and industry-aligned development cycles, students gain practical experience in resilience modelling, embedded AI diagnostics, and autonomous recovery protocols
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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magnification and error accumulation by closing the feedback loop of conventional 3DP systems. The candidate will test the developed technologies across multiple application scenarios, including large-scale
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pioneering hydrogen propulsion systems through their Hydrogen Demonstrator program. This partnership provides a unique industrial environment, ensuring that research outcomes directly align with future
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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previous experience of successful partnership working with multiple stakeholders, alongside academic research experience, is essential. Details of funding The successful applicant will: Be awarded an annual
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. This exciting project will focus on designing, constructing, and testing synthetic cells with multiple sub-compartments. Just like their living counterparts (i.e. eukaryotic cells), synthetic cells with different
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the University of Nottingham. This project aligns with Rolls-Royce’s technical needs to develop automated and hybrid tooling solutions for in-situ/on-wing repair and maintenance of gas turbine engines
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Attributes and Behaviour Ability to negotiate and prioritise multiple, competing responsibilities and to work to deadlines Be open to new ideas, and welcome different perspectives and new ways of thinking