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Research Fellow (Machine learning models for Fusion Clean Energy)
22 days ago
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22 days ago
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A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS).

College of Science in NTU, Singapore is looking for a research fellow, to develop machine learning models applied to fusion and plasma science for clean energy.

Key Responsibilities:
  • Literature review of using machine learning to plasma research and experiments
  • Summarize research gaps and requirements for data augmentation for plasma experiments and predictions
  • Collect data from real plasma experiments and simulations
  • Developing machine learning models such as generative AI to augment the dataset
  • Optimizing the model parameters and evaluate the results against ground truth
  • Implementing applications of the machine learning models and integrate with other parts of the projects including simulator extensions

Job Requirements:
  • Ph.D. in related fields such as computer science and computer engineering
  • Extend research experience related to optimization tools and machine learning
  • Strong track record in terms of publications in top-tier journals/conferences

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU
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Research Fellow (Machine learning models for Fusion Clean Energy)
22 days ago