About this role
Research Fellow at NTU’s Global Institute of Finance, Technology, and Society to develop economic world models that bridge AI with quantitative finance using generative AI and theory-informed neural networks. Responsibilities include building agentic economic world models, applying diffusion models, PINN/SKINN, reinforcement learning and transformers for tasks such as covariance estimation and time-series forecasting, and collaborating across disciplines.
Skills for this role
Generative AITheory-informed neural networksPhysics-Informed Neural Networks (PINN)SKINNDiffusion modelsReinforcement LearningTransformer architectureTime-series forecastingCovariance matrix estimationPythonJAXAsset pricingVolatility modellingRisk managementDerivative pricingMachine learningDeep learningStatisticsQuantitative analysisCleanreproducible codeWritten communicationOral communication