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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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an original programme of research working with ecologists Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science. This PhD is part of the Cumbria
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reach the market, current manufacturing and characterisation technologies in the industry will struggle to deliver them economically and safely for patients. This research program aims to provide
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through advanced cooling integration, as well as using topology optimisation, soft magnetic materials (e.g., cobalt-iron alloys), and additive manufacturing to push performance boundaries. The research will
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Department: Chemistry Title: Combinatorial Discovery of Peptide Materials as Ice Binding Protein Mimics Application deadline: All year round Research theme: Chemical Biology, Materials Chemistry