101 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham
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major component in electrical machine design or analysis. More information is available on the Role Profile below. What we Offer Our full list of our benefits can be found here . What Next To apply
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subject area, with a major component in electrical machine design or analysis. More information is available on the Role Profile below. What we Offer Our full list of our benefits can be found here . What
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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purposes. We are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning, data sciences, or closely related discipline. OR near to completion of a
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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25 Nov 2025 Job Information Organisation/Company University of Nottingham Research Field Environmental science » Other Medical sciences » Other Researcher Profile Recognised Researcher (R2) Country
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exciting opportunity to work on a project that is a priority area for them. The successful applicant will be leveraging their data science expertise to work on a complex large linked primary care dataset
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searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty analysis. This role offers a rare opportunity to bridge public health and building science
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong