125 electric-machine-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Modern systems research targets
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Freedom of information Research Fellow in Machine Learning Assisted Choice Modelling This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also
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PhD Studentship: Insulation Reliability for Next-Generation Electric Motors in Automotive and Aerospace Applications Area Electrical & Electronic Engineering Location Jubilee Campus Closing Date
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applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying computational
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quantum attacks Verifiable and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and
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round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals. For this
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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opportunity focuses on advancing the field of large-scale additive manufacturing, utilising metal wire as the feedstock and electric arc as the heat source. The project aims to enhance our understanding
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Title: Modelling dynamics and reactivity with Machine Learning Interatomic Potentials Supervisor: Professor Fernanda Duarte Start date: 1 st October 2027 Applications are invited for a fully funded