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on operations. To support development of complex multi-layered systems and to inform rapid decision-making, this project will develop advanced Machine Learning (ML) architectures that learn directly from a
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Deadline for applications: 15th of April 2024 (or until the position if filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University
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University, University of Edinburgh and Leonardo. We are pleased to invite applications for a PhD studentship to work as part of a leading team of experts. This studentship will be supported by an enhanced
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[email protected] Smart Products Made Smarter The PhD project forms part of a larger Prosperity Partnership Programme, Smart Products Made Smarter, a collaboration with Heriot-Watt University, University
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an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject
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signal processing or machine learning technologies will be considered, as well as specific technical challenges. For example, projects in this theme will consider aspects related to: wide area motion
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PhD Studentship: Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes
. The application of Machine Learning (ML) to estimate the properties of polymer membranes for gas separation, including solubility, diffusivity, and permeability is gaining traction. However, significant untapped
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is hypothesised to exert an additional stress on the bubble surface, however, its exact effect on the nanobubble’s cavitation dynamics is still unexplored. In this PhD project, you will develop new
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Summary: This research proposal addresses challenges in the UK's construction industry, focusing on sustainability & safety. It aims to develop machine learning models that combine data from similar