PhD – Develop Cutting-Edge Hybrid Models for Bosch Products 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 Accurate models are critical for designing and calibrating control functions across a wide range of Bosch products. While physical equations provide a foundation, modeling complex systems requires a more sophisticated approach. This PhD position offers the opportunity to develop and implement innovative hybrid model structures, combining physical knowledge with data-driven techniques to achieve exceptional accuracy with minimal calibration effort. The initial focus will be on a joint electric drive and mechanical drivetrain system, a core technology in Bosch products like E-Bikes, automotive components and power tools. By mastering efficient hybrid model identification and control techniques, you will directly contribute to Bosch's ability to deliver consistently high-performing and accurate products, ensuring superior performance across all operating conditions and production samples. This exciting project offers the chance to collaborate with machine learning experts at our advanced research headquarters in Renningen, gaining valuable experience and contributing to a strategic area of Bosch innovation. Qualifications Education: excellent Master's degree or equivalent in Electrical Engineering, Mechanical Engineering, Cybernetics or Computer Science Experience and Knowledge: sound knowledge of advanced control theory, machine learning and data-based modeling; knowledge of tools for control and modeling (e.g. Matlab/Simulink, Python) Personality and Working Practice: likes to develop solutions in interdisciplinary, diverse teams and implement them up to the functional model; willing to take initiative and responsibility with a methodically & structured, solution-oriented way of working Enthusiasm: enthusiastic about technical challenges Languages: very good knowledge of English, knowledge of German is an advantage Additional Information www.bosch.com/research https://www.bosch-ai.com The final PhD topic is subject to your university. Start: according to prior agreement Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need support during your application? Sarah Schneck (Human Resources) 49(9352)18-8527 Need further information about the job? Adrian Trachte (Functional Department) 49(152)58813171