CU
Intelligent Modelling of Self‑Organised Edge Turbulence in Tokamak Plasmas
✓ Fully Funded
⏰ Closing Soon
machine learning
mathematical modelling
computational modelling
turbulence
fusion
plasma physics
tokamak
physics
Explore intelligent modelling of edge turbulence in tokamak plasmas by combining physics-based approaches with AI. Develop predictive tools to control plasma behaviour and support fusion energy research.
AI-generated overview
Fusion Energy
Turbulence
Plasma Physics
Computational Modelling
Artificial Intelligence
Tokamak
Project Description
This PhD project investigates turbulence and instability dynamics at the edge of tokamak plasmas, a key challenge in achieving stable and efficient nuclear fusion.
The research aims to improve understanding and prediction of plasma behaviour using a combination of:
physics-based modelling
computational simulations
data-driven methods (including machine learning)
The project will:
study turbulence and transport in high-temperature plasmas
develop computational models for edge plasma behaviour
explore predictive tools for plasma confinement and stability
contribute to fusion energy research
The PhD is part of the UK Fusion Centre for Doctoral Training (Fusion CDT), offering:
structured training programme
collaboration with international partners (NTU, KSTAR, Deakin University)
interdisciplinary research environment
Entry Requirements
Minimum 2:1 degree in:
Physics
Mathematics
Engineering
or related field
English requirement:
IELTS 6.5 overall
minimum 6.0 per component
Interest in:
plasma physics
computational modelling
fusion energy
Physics
Mathematics
Engineering
or related field
English requirement:
IELTS 6.5 overall
minimum 6.0 per component
Interest in:
plasma physics
computational modelling
fusion energy
How to Apply
Contact:
eun-jin.kim@coventry.ac.uk
ejk92122@gmail.com
Submit:
full supporting documents
cover letter
500-word supporting statement
Application deadline: Not specified
eun-jin.kim@coventry.ac.uk
ejk92122@gmail.com
Submit:
full supporting documents
cover letter
500-word supporting statement
Application deadline: Not specified
Eligibility
UK/Home
EU
International
Supervisor Profile
PE
Prof E Kim
Coventry University, Centre for Fluid and Complex Systems
Prof E Kim focuses on advancing the understanding of turbulence in fusion plasmas through computational physics and AI integration. With expertise in fluid and complex systems, Prof Kim leads innovative research blending first-principles physics and data-driven methods. Their work contributes significantly to predictive modelling for fusion energy.
More PhDs with Prof E Kim
CU