Qualification Type: | PhD |
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Location: | Exeter |
Funding amount: | Up to £19,237 |
Hours: | Full Time |
Placed On: | 18th December 2024 |
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Closes: | 28th February 2025 |
Reference: | 5470 |
The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship funded by the Faculty of Environment, Science and Economy to commence on 1 June 2025 or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £19,237 for 3.5 years full-time. The student would be based in Exeter in the of Environment, Science and Economy at the Streatham Campus.
Climate change is amplifying the frequency and intensity of extreme weather events, creating significant risks for infrastructure, economies, and communities. It highlights the urgent need for innovative methods to accurately forecast extreme weather events and reduce their impacts. Nevertheless, the unpredictable and infrequent nature of extreme weather events poses distinct challenges, requiring the development of advanced, data-driven solutions that can handle their complexity and rarity.
This PhD project aims to pioneer ML methodologies tailored to short-term spatiotemporal extreme wind speed prediction, addressing limitations in conventional models.
The candidate will:
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