Student for Master's thesis ''Regeneration of high-resolution driving profiles using generative AI''

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: MER0003YWD Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. 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 are already working on vehicles that will secure the technology leadership of the Mercedes-Benz Group in the future. Our team is working across the project on-board diagnostics (OBD) for the Mercedes and Mercedes-AMG engines, both the highly emotional conventional drives and the performance hybrids. The functions of the OBD error memory and the Generic Scan Tool Communication are included in our responsibility area. In addition, we coordinate the development of OBD across the project in cooperation with the relevant departments and ensure the highest possible quality of diagnostic functions in future products. In order to develop our vehicles more customer-oriented and efficient, we use telematics data from the global fleet. Since these data are often only available sparsely (low-frequency), we are working on innovative AI methods to reconstruct high-resolution, physically plausible driving profiles. Your tasks in detail: Research: Literature research on state-of-the-art methods in the field of time series Generation & Super-Resolution (e.g. GANs, Diffusion Models, UAEs)

Data Engineering & Preprocessing: Build a training pipeline using SQL and Python - You use high-frequency measurement data from test drives as ''Ground Truth'' and simulate the sperm telematics format from downsampling. Integrit important context information (e.g. ADAS signals, traffic signs, topology) as conditional inputs.

Modeling: Development and training of a Generative AI model that learns to reconstruct realistic, high-frequency speed and load profiles from the simulated, coarse telematic signals

Validation: Evaluation of the model quality using test sets. You compare the generated profiles with the original measurement data with statistical accuracy and physical plausibility

The activity can begin from April 2026. The final topic is defined in consultation with the university, you and us.

Studies: Master's degree in Computer Science, Mathematics, Mechanical Engineering, Automotive Engineering, Electrical Engineering or Similar

Programming skills: Very good knowledge of Python and experience with Deep Learning Frameworks (PyTorch or TensorFlow)

Databases: Solid knowledge in SQL and experience in handling time series data

Know-how: First experiences with generative models (GANs, Diffusion) or time series analysis (LSTM, Transformer) are a big plus

Language: Good German or good English skills

We offer: Insights into the latest vehicle technology and access to exclusive telematics data sets

Close support as part of an ongoing doctoral project

The ability to directly influence future development strategies with your work

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-Untertuerkheim@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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