Master Thesis Data-Efficient Hybrid Machine Learning for Robust Vibration System Prediction

Do you want to bring artificial intelligence into technical applications? In collaboration with a team of engineers and scientists, you will investigate how to develop more robust and reliable predictive models for technical systems. You will work on enhancing a machine-learning toolbox to forecast vibration-loaded systems and add crucial capabilities to learn from real-world insights, especially when measurement data is scarce.

• During your thesis you will research and apply advanced machine learning techniques to integrate limited measurement data into the training of models that currently rely predominantly on simulation data.
• You will develop a benchmark by integrating simulated data and new measurement data from a test bench, utilizing machine learning algorithms to predict the dynamic behavior of nonlinear coupled vibration systems.
• Furthermore, you will apply and evaluate your chosen approaches, comparing their model performance (accuracy and robustness) against simulation-only trained models.
• Finally, you will openly communicate your ideas and contributions, benefiting from the exchange with colleagues within your team, experts in the field, and a broader network across various domains and locations within the company., Our Research Campus in Renningen, Germany, is the international hub of our Corporate Sector Research and Advance Engineering, the Cross-Domain Computing Solutions division, and the Bosch Center for Artificial Intelligence. Here, associates from all over the world are dedicated to finding answers to tomorrow's questions. To ensure our researchers' ideas can develop and flow freely, the campus has been set up to encourage direct, easy communication and nurture inspiration - an environment where creativity knows no bounds. Are you ready to join us in shaping the future? Your innovative spirit and curiosity are just what we're looking for.

• Education: Master studies in the field of Engineering, Mathematics, Physics, Computer Science or comparable with good grades
• Experience and Knowledge: very good knowledge of Python (Pytorch, Pandas, Numpy etc.); good to very good knowledge of fundamental machine learning concepts and algorithms, particularly relevant for regression; good understanding of dynamics / mechanics
• Personality and Working Practice: you excel at driving innovation with a high degree of self-motivation, working independently while communicating your progress and ideas effectively
• Work Routine: your on-site presence is required
• Languages: fluent in English and basic in German or fluent in German and very good in English

Occupational health care and counselling by internal medical staff, free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health, company pension scheme from the 3rd year at Bosch YouTube We provide videos via YouTube. For these videos to be shown, you first have to give your consent. If you consent, data will be transferred to YouTube, cookies will be used, and the Google DoubleClick advertising network will be contacted. This may trigger further data processing operations. It cannot be ruled out that data will also be transferred to countries outside the European Economic Area. Welcome to Bosch At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application!