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) during their study. The placement offers exciting and invaluable work experience designed to enhance professional development. Full support and advice will be provided by our Professional Internship team
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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, students will be expected to spend time at both the University and the Portsmouth Museum and Library. Note: All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding
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-world datasets throughout, and collaborating with the non-profit organisation Earth Rover Program. What You'll Gain This is a chance to do original, high-impact science at the intersection of mathematics
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have an undergraduate degree with a minimum classification of 2:1 in a field relevant to the project for which they are applying. Candidates for whom English is a second language should meet the
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depend on cloud computing or high-bandwidth communications. Instead, sensing and AI inference must operate directly at the edge, under tight constraints on power, bandwidth, and compute. This studentship
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show