Student for Bachelor's Thesis in the Field of Passenger Car Hybrid Powertrain - Optimising Shift Quality

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00047CK Are you interested in developing innovative and technologically ground-breaking electric and hybrid powertrains from Mercedes-Benz cars? Then you are right with us! actively shape the upcoming drives of the EQ Power family and be part of the future of the automobile. Our team is responsible for the software-side functional development and application of the electric/hybrid power train. In order to meet this innovative field of work, our team consists of engineers of various technical fields of study. Do you want to be part of the team? The goal is to optimize the switching quality of a highly complex automatic transmission in the P2 hybrid drive train using machine learning methods. These challenges come to you: Development of a machine learning tool for automated evaluation of the switching quality of automatic transmissions, including an interactive user interface for analysis and visualization of measurement data from real vehicle testing Conception and implementation of a semi-monitored machine learning pipeline for intelligent prioritization of switching events and a monitored classification model for automatic evaluation of switching quality Close cooperation with gear engineers to create an annotated training data set and to validate and evaluate the developed tool using real test drive data

The activity can start from October 2026. The final topics will be discussed with the university, you and us.

Course in Automotive Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Business Informatics, Industrial Engineer or Other Technical Degrees Secure knowledge of German in word and writing Safe handling of MS Office Flexibility and willingness to learn and commitment and team spirit Analytical thinking and strategic working Basic knowledge of Matlab and Python required Knowledge of AI systems and machine learning Vehicle knowledge

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with an indication of the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and to observe the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

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