Student for thesis/bachelor's thesis/master's thesis (AI-based analysis of communication data in diagnostic processes)

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: MER00044BV In the field of E/E Architecture and System Engineering, we are responsible for the comprehensive diagnostic software for testing and commissioning electronic control units and systems. In the context of test and commissioning tests, tester interruptions occur which are frequently due to communication problems between different control units. The analysis of these errors has so far only been limited, which lacks transparency about the actual causes and optimization potentials are only used to a limited extent. Here, patterns in communication data are to be identified and relevant influencing factors are to be worked out in order to enable a well-founded cause analysis. These challenges come to you: Participation in the analysis of complex questions in the field of machine learning and AI Application and development of methods for data-driven error analysis Implementation of data analysis and modeling approaches with python and common data science libraries (e.g. pandas, scikit-learn) Introduction to new data sources and development of data processing and interpretation approaches Transfer of theoretical knowledge from studies in practical applications Structured processing of complex tasks in the technical environment Independent incorporation into new topics and systems within an interdisciplinary team Communication of analysis results in German and English

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

Course in Computer Science, Data Science, Electrical Engineering, Business Informatics or Similar Interest in machine learning, AI and data-driven error analysis Good knowledge of Python and common data science libraries (e.g. pandas, scikit-learn) of advantage First experience in data analysis, modeling or signal/communication data of advantage Analytical thinking and structured working Individual initiative and motivation to work into complex systems Good knowledge of German and English 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. HR Services 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).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café