PhD – Develop Cutting-Edge Hybrid Models for Bosch Products
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!
Employment type: Limited Working hours: Full-Time Joblocation: Renningen JOBV1_DE
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Your tasks • Your profile • What we offer
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!
Employment type: Limited Working hours: Full-Time Joblocation: Renningen 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 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.
Education: excellent Master's degree or equivalent in Electrical Engineering, Mechanical Engineering, Cybernetics or Computer Science Experience and Knowledge: 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
Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.
The recruitment contact or superior will be happy to provide information about the individual benefit plan. JOBV1_EN
Company location
Location
![]() | Bosch Gruppe | |
Renningen | ||
Germany |
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