Postdoc in Physics‑Informed Machine Learning for Hybrid Traffic Prediction

A Postdoctoral Researcher at TU Delft will lead the development of new traffic prediction methods by integrating hybrid traffic flow models with machine learning. The role involves creating uncertainty quantification frameworks, designing visualization tools for decision-makers, and collaborating with road authorities to validate methods in real-world scenarios. Additionally, the position includes mentoring PhD candidates and shaping the scientific direction of the deepTraffic project.