AI for Cyber-Physical Systems Intern

Bosch Research and Technology in Pittsburgh is seeking a highly motivated student to join our research team focused on integrating advanced machine learning techniques into cyber-physical systems development and maintenance processes. This internship offers a unique opportunity to work on projects that aim to bridge the gap between digital and physical data in manufacturing environments. You will be involved in developing methodologies, applications, and strategies for collecting, analyzing, and utilizing low-level data from distributed, cyber-physical systems. You will assist in building and refining data capture pipelines, developing machine learning models to infer relationships between digital and physical modalities, and implementing ML-enabled debugging features to enhance manufacturing efficiency.