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

Renningen, Baden-Württemberg, Germany • Posted June 04, 2026

Job Type: Full-time
Location: Renningen, Baden-Württemberg
Posted: June 04, 2026
Category: Mathematical Science Occupations
Application Deadline: July 14, 2026

Role Description

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

Robert-Bosch-Campus 1, 71272 Renningen, Germany

Full-time

Robert Bosch GmbH

Company Description

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!

Job Description

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 f...

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