431 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at University of Nottingham
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A Design Methodology for Embedding Robotics & Automation into Circular Product Development This is an exciting opportunity to undertake industrially linked research in partnership with
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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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for the transition from fossil carbon towards a sustainable net-zero future, as well as growth and sustainability of the UK economy and beyond. https://www.nottingham.ac.uk/news/c-loop-ukri C-Loop is a collaborative
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Looking backwards to go forwards: Systems Engineering Approaches for Inverse Design of Manufacturing Systems Supervised by Rundong Yan, Alistair Speidel, and Rasa Remenyte-Prescott This exciting
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Thermal Barrier Coating activities. This PhD programme, in partnership with Rolls-Royce, will address key challenges
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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In recent decades the interest in green hydrogen has increased rapidly driven by climate change concerns and net-zero carbon targets. Between 2025 to 2030 there is an opportunity for hydrogen
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
: Glioblastoma (GBM) is an incurable malignant brain tumour with severely limited therapeutic interventions and short survival times. Major challenges in treating GBM include intra-tumour heterogeneity and
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools