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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078v2) Start: Between 1 October 2026 and 1 July 2027
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cloud and HPC platforms to provide powerful compute capabilities to our users. In this role, your contribution will help to deliver the Franklin’s mission to drive forward technology development in
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increasingly important for autonomy, navigation, inspection, and situational awareness across defence and other safety-critical applications. Yet many real-world deployments cannot depend on cloud computing
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turbulence. You will study either the entrainment processes at the cloud edge or the turbulence – droplet interactions. Depending on the strengths/preferences of the student you will either conduct high
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performance storage for I/O intensive compute tasks Store research data safety and securely, directly accessible to HPC and research platforms and easily accessible to researchers Development of cloud services
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and supervision of projects / dissertations for UG students. Coach and mentor PG/ PhD students and where appropriate gain experience of PhD supervision. You should have: PhD in computer
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countermeasures, and cloud security concepts. Candidates should possess a PhD or equivalent experience, ideally in computer or information science and preferably with a track record in the delivery of study modules
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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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modelling. You will help support two PhD students also focusing on pharmacokinetics aspects within Cote d’Ivoire and Malawi and work closely alongside other national and international PhD students and PDRAs
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technology. The PhD position is available for admission in October 2026. The studentship is fully funded for UK/EU/Overseas students for 4 years. Applicants should have the equivalent of a first (1) or upper