POST-DOC Data-driven discovery of constitutive models for granular materials from physics and in-operando intruder experiments (M/F)

The postdoctoral researcher will be responsible for designing and implementing physics-informed machine learning strategies for identifying constitutive laws in granular media. This includes the development of thermodynamically consistent models and their integration into numerical simulation tools coupled with boundary value problem solvers (e.g.