The University of Twente offers a PhD position focused on developing Physics-Informed Neural Networks (PINNs) for modeling complex interactions between earthquakes and landslides. The aim is to enhance early warning systems and disaster preparedness by improving multi-hazard modeling techniques. The position requires a strong academic background in Earth sciences, physics, or engineering, with experience in neural network architectures, mathematical modeling, and PDEs. Proficiency in scientific computing programming languages is essential. The role involves embedding physical process equations into neural networks to simulate disaster scenarios.
