{ "breadcrumb":[ { "url": "/", "text": "Home" } ,{ "url": "/opportunities", "text": "Opportunities" } ,{ "url": "/opportunities/phd-opportunities", "text": "PhD Opportunities" } ,{ "url": "/opportunities/phd-opportunities/current-and-past-projects", "text": "Current and past projects" } ], "tree": { "url": "/", "text": "Centre for Plasma Theory", "children":[ { "url": "/aims-objectives", "text": "Aims & Objectives" } , { "url": "/research", "text": "Research" ,"children":[ { "url": "/research/magnetohydrodynamics-and-plasma-turbulence", "text": "Magnetohydrodynamics and Plasma Turbulence" } , { "url": "/research/kinetic-theory-of-plasmas-and-self-gravitating-systems", "text": "Kinetic theory of plasmas and self-gravitating systems" } , { "url": "/research/magnetoconvection-from-liquid-metals-to-molten-salts", "text": "Magnetoconvection – from liquid metals to molten salts" } , { "url": "/research/mathematical-methods", "text": "Mathematical Methods" } ] } , { "url": "/collaborations", "text": "Collaborations" } , { "url": "/opportunities", "text": "Opportunities" ,"children":[ { "url": "/opportunities/phd-opportunities", "text": "PhD Opportunities" ,"children":[ { "url": "/opportunities/phd-opportunities/available-projects", "text": "Available projects" } , { "url": "/opportunities/phd-opportunities/current-and-past-projects", "text": "Current and past projects" ,"children":[ { "url": "/opportunities/phd-opportunities/current-and-past-projects/understanding-the-l-h-transition-in-jet-using-gyrokinetic-turbulence-simulations-at-the-edge-in-both-l-mode-and-h-mode", "text": "Understanding the L-H Transition in JET Using Gyrokinetic Turbulence Simulations at the Edge in Both L-mode and H-mode" } , { "url": "/opportunities/phd-opportunities/current-and-past-projects/self-regulation-of-turbulence-by-flows-in-tokamaks", "text": "Self-Regulation of Turbulence by Flows in Tokamaks" } , { "url": "/opportunities/phd-opportunities/current-and-past-projects/machine-learning-for-multi-fidelity-turbulent-transport-modelling-in-tokamak-plasmas", "text": "Machine Learning for Multi-Fidelity Turbulent Transport Modelling in Tokamak Plasmas" } ] } ] } , { "url": "/opportunities/msc-opportunities", "text": "MSc Opportunities" } ] } , { "url": "/people", "text": "People" ,"children":[ { "url": "/people/staff", "text": "Staff" } , { "url": "/people/phd-students", "text": "PhD students" } ] } , { "url": "/seminars", "text": "Seminars" } , { "url": "/links", "text": "Links" } , { "url": "/contact", "text": "Contact" } ] } }

Current and past projects

Please see below for descriptions of current PhD projects.

Understanding the L-H Transition in JET Using Gyrokinetic Turbulence Simulations at the Edge in Both L-mode and H-mode

In tokamak experiments a phenomenon can be observed in which the plasma transitions from a low (L) confinement state to a high (H) confinement state as the input heating power is increased beyond a certain threshold.

Self-Regulation of Turbulence by Flows in Tokamaks

Electromagnetic microinstabilities are likely to limit performance in future advanced steady state tokamak plasmas.

Machine Learning for Multi-Fidelity Turbulent Transport Modelling in Tokamak Plasmas

Predicting turbulence and transport in magnetically confined plasmas is one of the major challenges in developing fusion energy. High-fidelity simulations based on nonlinear gyrokinetic theory can accurately model turbulent behaviour in tokamaks but are extremely computationally expensive, often requiring hundreds of thousands of CPU-hours for a single run.

This article was published on 2026-06-25

Logos of Universitas 21, League of European Research Universities, Coimbra Group and Russell Group.

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.