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Field
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, simulation or analysis of electrical machines or electric drives, such as BLDC/PMSM systems Essential Application/interview Experience using engineering software or programming tools for modelling and data
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AI tools and software prototypes to optimise energy cost, carbon emissions, and demand-side flexibility under uncertain building operating conditions. The postholder will collaborate with academic
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, network analysis, and causal inference methods. Rather than focusing solely on task automation, the project will investigate how labour markets adapt (or fail to adapt) to AI-driven shocks, with particular
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., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is
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be used to identify clinically relevant indicators of neurodevelopmental risk. Depending on the direction of the research, the project may explore techniques such as convolutional neural networks (CNNs
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, a placement and be part of the larger STH community benefiting in the diverse academic and industrial network offered by the STH. Applicants should have, or expect to achieve, at least a 2.1 honours
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environment. Students will benefit from: dedicated cohort training and skills development networking and collaboration opportunities access to cutting edge facilities within the Henry Royce Institute, the UK’s
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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cloud formation patterns, potentially amplifying or reversing any direct radiative effects. Your research will help address these critical knowledge gaps and assess the net climate impact of space
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your doctoral studies Your Network and Team Currently, our research group consists of 1 professor, 3 PhD students, and several MSc or BSc research collaborators. The group is led by Professor Kwantae Kim