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University of Exeter

Just Landed

PhD Studentship: Polar Turbulence: Improving Boundary-layer Performance in Weather and Climate Simulations University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 7, 2027

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Environmental Science
Geography
Computational Science
Python Programming
Large Eddy Simulation
Computational Modelling
Physics

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About this position

[Home tuition fees plus an annual tax-free stipend for eligible students.]

This PhD studentship focuses on improving the representation of the stratified atmospheric boundary layer in weather and climate simulations, with an emphasis on polar turbulence and stably stratified conditions. The project asks whether moving from a first-order to a second-order boundary-layer parametrization can improve model performance, and whether high-quality observations can better constrain simulations of this difficult regime.

The doctoral researcher will develop and test the new parametrization in single-column and Large Eddy Simulation frameworks, comparing model behaviour with state-of-the-art observations from the British Antarctic Survey. The work combines physical understanding of boundary-layer processes with practical model development and evaluation, including computational analysis of turbulence patterns and the exploration of AI tools for model interpretation.

The project is based at the University of Exeter and sits within a research environment that links modelling, observation, and polar science. The supervisory and partner network includes the British Antarctic Survey and SAMS, providing access to specialist polar observations and expertise. The student will also have opportunities to build skills in scientific writing, data analysis, code development, and presenting research to the scientific community.

Training is a central part of the studentship, with the student expected to gain increasing ownership of the project over time while working in an atmosphere-science context.

Funding details

Available

What's required

Applicants should be interested in atmospheric science, weather and climate modelling, and computational research. The project includes training in Python and FORTRAN, so programming experience would be advantageous. The advert also notes project-relevant Masters modules at the University of Exeter, but no specific degree classification, language test, or other formal entry criteria are stated.

How to apply

Apply through the University of Exeter funding application page using the advert link provided. Review the studentship details carefully before submitting your application. Follow any instructions on the application page and ensure your materials are submitted before the deadline.

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