The University of Twente is offering a PhD position focused on developing Physics-Informed Neural Networks (PINNs) for modeling complex interactions between geophysical processes, such as earthquakes and landslides. The goal is to advance early warning systems for multi-hazard scenarios, improving disaster preparedness and risk mitigation. The candidate will work on embedding physical process equations into neural networks to simulate nonlinear behaviors and interactions between hazards. This position is ideal for candidates with a strong background in Earth sciences, mathematical modeling, and neural network architectures.
