Master Thesis in Machine Learning Strategies to Enhance Performance of Contact Simulations

Join our innovative team and collaborate with Bosch researchers to develop high-end simulation tools used in the design and development of critical components for market applications. During your thesis you will gain deep insights into our proprietary simulation software for contact dynamics. Your primary focus will be on enhancing our models and methods to increase the speed, quality, and efficiency of the simulations using machine learning (ML) methods. You will develop algorithms and models to improve performance, scalability, and efficiency. Furthermore, you will analyze and interpret simulation output datasets to extract meaningful information for training your algorithms. You will utilize Machine Learning techniques, ranging from Gaussian Optimization to Neural Networks, to develop comprehensive design models based on extensive simulation data. Finally, you will test and demonstrate your improvements on real design challenges.