Trainee

This Trainee role focuses on developing and evaluating estimation and signal processing methods for tires to enhance the accuracy and robustness of their state predictions. The position involves working on physical and semi-physical tire modeling, data fusion, and hybrid approaches combining physics-based models with machine learning techniques. The intern will contribute to the creation of a Tire Digital Twin to support predictive capabilities and maintenance planning within the connected mobility sector.