Student Master's thesis in the field of digitization of complete vehicle testing

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: MER000441P Large-Cars MB.EA-L is responsible for the digital testing and worldwide testing of prototypes in the top class segment of Mercedes-Benz. In the Digital Backup & Cross-sectional Functions team, we control the digital testing of all Mercedes-Benz vehicles in early development phases, responsible for the development and optimization of our digital simulation methods in the entire vehicle context. In addition, our team is responsible for coordinating and communicating with other specialist departments from the perspective of the overall vehicle test and is thus driving the degree of maturity and quality of our vehicles in early stages. These challenges come to you: incorporation into existing simulation methods (e.g. SPH, FEM, CFD) and understanding the relevant physical relationships

Creation of an overview of the suitability of the simulation methods used for the use of AI

Selection of a simulation method as a basis for the prototypical AI integration

Development and training of an AI model for accelerating or substituting the simulation

Critical assessment of practical suitability and derivation of recommendations for industrial use

Outlook for a comparison AI model vs. classic simulation with respect to accuracy, computing time, robustness and transferability

The activity can begin from September 2026.

The final topics will be discussed with the university, you and us.

Degree course in engineering (machine engineering, vehicle engineering, computer science, etc.)

Confidential handling of AI models (NN, Surrogat models, LLMs, etc.)

Advanced knowledge in programming (e.g. Python, Matlab, etc.)

enthusiasm for vehicles and innovations

Secure knowledge of German and English in word and writing

Safe handling of MS Office

Basic knowledge of CAD (Siemens NX, Catia, Solid Edge, etc.)

Commitment and team skills

Analytical thinking and strategic working

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).

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