CU
Intelligent Modelling of Self‑Organised Edge Turbulence in Tokamak Plasmas
✓ Fully Funded
⏰ Closing Soon
machine learning
computational modelling
turbulence
theoretical physics
fusion
plasma physics
tokamak
Explore and control turbulence in fusion plasmas using intelligent modelling techniques. Develop predictive AI-enhanced models to accelerate fusion energy research.
AI-generated overview
Fusion Energy
Tokamak Plasmas
Turbulence
Machine Learning
Computational Modelling
Plasma Physics
Project Description
This PhD project investigates turbulence and instability dynamics at the edge of tokamak plasmas, where fluctuations strongly affect pedestal structure, confinement, and the approach to disruptive events.
The research aims to improve understanding and prediction of complex plasma behaviour by combining physics-based modelling with modern AI and machine learning methods.
The project will involve:
studying plasma physics and turbulence
developing and applying computational models
using data-driven methods to support and enhance modelling
contributing to predictive understanding of edge plasma behaviour in fusion systems
The project is part of the UK Fusion Centre for Doctoral Training and includes collaboration with partners such as NTU, the KSTAR team, and Deakin University.
Full training will be provided.
Entry Requirements
Minimum 2:1 first degree in a relevant discipline
Minimum 60 percent in the project element or equivalent
Minimum 60 percent overall module average
Plus:
potential to carry out innovative research
ability to complete the PhD within 4 years
IELTS 6.5 overall with minimum 6.0 in each component if required
Backgrounds welcomed:
Physics
Mathematics
Engineering
Related fields
Minimum 60 percent in the project element or equivalent
Minimum 60 percent overall module average
Plus:
potential to carry out innovative research
ability to complete the PhD within 4 years
IELTS 6.5 overall with minimum 6.0 in each component if required
Backgrounds welcomed:
Physics
Mathematics
Engineering
Related fields
How to Apply
For more information, contact:
eun-jin.kim@coventry.ac.uk
ejk92122@gmail.com
Applications require:
full supporting documentation
covering letter
500-word supporting statement explaining how your expertise and interests are relevant to the project
eun-jin.kim@coventry.ac.uk
ejk92122@gmail.com
Applications require:
full supporting documentation
covering letter
500-word supporting statement explaining how your expertise and interests are relevant to the project
Eligibility
UK/Home
EU
International
Supervisor Profile
PE
Prof E Kim
Coventry University, Centre for Fluid and Complex Systems
Prof E Kim focuses on plasma physics, particularly turbulence and instability dynamics in fusion devices. Their research integrates physics-based modelling with AI approaches to improve understanding of complex plasma behaviour. Prof Kim collaborates internationally, contributing to advancing fusion energy research.
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