Student for Master's Thesis: AI-Supported Testing in the Vehicle Development Process

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: MER0003UF0 In Group Research & Mercedes-Benz Cars Development (RD), we design the automotive generations of the future. We mean innovative products with the highest quality and efficient development processes. We accompany the change in technologies, products, services and services, supported by cross-functional teams in the company. In the Center Drive Systems e-Drive, we are responsible for e-drive development with specific equipment & infrastructure as part of e-drive testing at the Sindelfingen site. Topic of the Master's thesis: Our product development process is based on a variety of independent tools for visualizing test results. However, manual evaluations and interpretations are often required to ensure a seamless transfer between the different integration stages – from individual components to the entire vehicle. The aim of this master's thesis is to design and implement an intelligent cloud platform that creates continuous transparency throughout the entire testing process for vehicle market release. The focus is on developing a cloud-based big data application using agile methods (SCRUM) and intelligent interpretation of test results by using AI technologies. Your tasks in detail: API Integration: Developing existing testing tools through suitable APIs for data extraction and integration AI algorithms: development of algorithms for automated evaluation of test results using artificial intelligence (AI) methods Automated reporting: use of AI techniques to automatically generate test reports and identify patterns and anomalies User-friendly UI: Development of an intuitive user interface (UI) in close cooperation with test management and project management to enable visualization and interaction with AI-based analysis results International cooperation: Active cooperation with international data engineering teams to integrate data sources and optimize AI models Requirements analysis: Development of internal requirements in multidisciplinary workshops and derivation of user stories for agile development Agile coordination: coordination of agile development processes using SCRUM Anomaly detection: Introduction of machine learning processes to detect anomalies in the test results using AI-based models Predictive models: Development of data models for the predictive creation of e-drive tests taking into account AI-based predictions Efficiency: Developing a long-term strategy to identify cost-saving potentials by using AI in the testing process

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

You are studying in the Master Computer Science, Data Science, Artificial Intelligence, Software Engineering, Robotics, Business Informatics or a comparable course of studies Ideally, you've already gained first experience with Cloud Services (Microsoft Intelligent Cloud, Azure) You already know better with Machine Learning Frameworks You want to develop innovative solutions in an international team You are committed and reliable. Analytical Thinking and Strategic Work Are You You speak and write fluent German and English. MS-Office is safe Communication and team skills stand out and you have an affinity for IT and vehicles We look forward to your application and to developing innovative solutions together with you!

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving 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).

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