Description
This internship at Bosch involves working on a challenging project at the intersection of physics, engineering, and machine learning. The goal is to understand and model the causal, physical dynamics of microelectromechanical systems (MEMS) by building a causal model for a production sub-process. Interns will develop fundamental concepts of causality and MEMS, derive system equations from physical principles, validate assumptions with experts, and compare machine-learning algorithms for causal inference.
