Research Fellow (Plasma Physics for Fusion Energy)
NANYANG TECHNOLOGICAL UNIVERSITY
Singapore, Singapore
Phd in physics or applied mathematics
Strong background in machine learning
Proficiency in python and tensorflow/pytorch
The project aims to advance the use of machine learning techniques to model and understand plasma turbulence in magnetically confined fusion plasmas
Job Summary
The project aims to advance the use of machine learning techniques to model and understand plasma turbulence in magnetically confined fusion plasmas.
The Research Fellow will apply advanced machine learning algorithms, including deep neural networks and physics-informed neural networks, to analyze large datasets from gyrokinetic and fluid simulations.
The role involves collaborating with international partners at CEA, France, to integrate AI models into broader fusion research programmes.
Matching Summary
Match Score: 85
The project aims to advance the use of machine learning techniques to model and understand plasma turbulence in magnetically confined fusion plasmas.
Skills & Requirements
Must-have
PhD in Physics or Applied Mathematics
Strong background in machine learning
Proficiency in Python and TensorFlow/PyTorch
Experience with neural networks for scientific data
Scientific programming and data analysis skills
Nice-to-have
Familiarity with plasma physics and turbulence
Experience in fusion research contexts
Track record of scientific publications
International collaboration experience
Software contribution history
Key Requirements
PhD in Physics, Applied Mathematics, or Computational Science
Demonstrated experience applying ML to physical systems