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Field
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Engineering, Informatics, Information Systems, or a closely related discipline. A strong theoretical and practical foundation in machine learning is essential, encompassing both the underlying principles
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create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted
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About the project: Machine learning accelerated electronic transport calculations for complex materials Supervisor: Prof. Neophytos Neophytou, University of Warwick Advancements in materials
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generation of experts skilled in the combination of Operation Research and trustworthy Machine Learning. CoRDS goes beyond the state-of-the-art DDO methods by proposing decision support frameworks that combine
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system for ferry quays, containing labelled damage data as training material for a machine learning model capable of automatically classifying structural damage from drone inspection images. The project
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to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
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fluidics, statistical analysis and machine learning tools will be employed extensively. A specific focus will be in advancing biotechnological breakthroughs toward CCUS-conforming biomaterials, which can be
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opportunities? Do you have a background in electrical power engineering, and are you interested in power electronics? As a PhD candidate with us, you will work to achieve your doctorate, and at the same time gain
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Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be