Research Fellow to spearhead development of economic world models bridging AI models with quantitative finance theory, focusing on generative AI and theory-informed neural networks; responsibilities include theoretical and empirical studies in asset pricing, volatility modelling, and risk management; develop model frameworks using diffusion models and PINN/SKINN; build agentic economic world models integrated with reinforcement learning and transformers for AI-driven financial econometric tasks; collaborate across computer science and statistics and promote research at leading conferences.
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- Onsite
- Remote eligible
- No
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