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University of Exeter

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PhD Studentship in Dynamic Turbulence Modelling for Convective Storms University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Environmental Science

Funding

Available

Deadline

Jan 7, 2027

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Country

United Kingdom

University

University of Exeter

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Keywords

Environmental Science
Mechanical Engineering
Fluid Mechanics
Atmospheric Science
Earth Science
Numerical Weather Prediction
High Performance Computing
Physics

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About this position

[For eligible students, the studentship covers home tuition fees plus an annual tax-free stipend.]

This PhD studentship focuses on dynamic turbulence modelling for convective storms, tackling one of the key challenges in high-resolution weather prediction: how to represent unresolved turbulence at sub-kilometre, grey-zone resolutions where conventional parametrisations begin to fail.

The project will examine how turbulence representation affects convective-scale simulations and will develop an adaptive turbulence parametrisation that diagnoses closure parameters dynamically from the evolving flow rather than prescribing them in advance. The scheme will be implemented in Met Office modelling systems and evaluated with high-resolution simulations of reference shallow and deep convection case studies, together with observational data.

The student will work at the interface of atmospheric science, fluid dynamics and numerical modelling, with opportunities to engage in scientific programming, model development, data analysis, visualisation and scientific writing. The project is designed to build practical research skills in High Performance Computing and to support increasingly independent research direction as the work progresses.

This studentship sits within an established partnership with the Met Office aimed at improving turbulence parametrisations for next-generation forecasting systems. The researcher will spend time at the Met Office, work directly with model developers, and take part in joint project meetings, gaining exposure to operationally relevant weather-prediction research.

Funding details

Available

What's required

No specific entry requirements are stated in the advert. The project indicates training in atmospheric science, fluid dynamics, numerical modelling, high-performance computing, scientific programming, model development, data analysis, visualisation and scientific writing, and notes that the researcher may explore physical interpretation, new diagnostics, or data-driven approaches depending on interests.

How to apply

Apply via the Exeter funding application page. Use the application link provided in the advert and submit before the deadline.

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