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 Gmb H is looking forward to your application!Job Description At Bosch Corporate Research in Renningen, we are working on learning control of hydraulic cylinders for advanced excavator assistance functions. During your thesis, you will determine the relevant operational space for learning-based control of hydraulic cylinders for different excavators. You will use new concepts to detect distributional shifts of excavators and collect missing data. In addition, you will develop measures to reduce the computational load of V&V concepts to enable reliable lifelong learning. Last but not least, you will test the developed concepts using real excavators and/or simulations with real excavator data. Qualifications Education: studies in the field of Electrical Engineering, Electronics, Computer Science, Mathematics or comparable Experience and Knowledge: in the field of Electrical Engineering, Electronics, Computer Science or Mathematics an advantage Personality and Working Practice: you are an open and communicative person who is able to work independently Languages: fluent in German or in English Additional Information Start: according to prior agreement Duration: 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations, and if indicated, a valid work and residence permit. 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.
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