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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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international team with industrial partners and must be prepared to travel for project meetings or in undertaking specific research activity. The position is offered initially on a 12-month contract with
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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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projects. The role will also provide the opportunity to learn and develop medicinal chemistry skills as applied to drug design. The role is ideal for someone who has, or is about to be awarded, a PhD in
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via the PhD Chemistry programme page, by clicking the 'Apply' button, above. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and
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. The exact reasons for this remain unclear. This is an exciting project suitable for an enthusiastic and passionate PhD candidate aiming to explore the link between CF and cardiovascular/cerebrovascular health
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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Recycling and Circular Economy" How many positions: 1 This 3.5 year PhD is open to UK nationals. The successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780 for 2025/26) and
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catalytic (homogenously and heterogeneously catalyzed) hydrogenation technologies targeting valorization of carbon oxides for green oxygenates production. In this project, we particularly aim green methanol
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be given to the successful candidate to ensure the PhD project is suited to their interests. Part of the first year of the PhD studies will involve undertaking mini studies in one or more of the above