Student for thesis development of AI-supported tools - generation of interior designs

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Number: MER0003VA4 Our department is constantly looking for innovative ways to optimize the design process in the interior and develop concepts for components and productions in the interior of the vehicle. The early concept phase is crucial for visualizing creative ideas and testing technical feasibility. Generative AI offers a promising potential to accelerate and improve this process. The aim of this work is to develop a tool that is based on generic AI design for components and productions in the vehicle interior. The tool is designed to enable the department to quickly and easily create and visualize different design variants to support decision-making and concept-finding. Your tasks: Introduction to the basics of generic AI: Research on current methods and models in the field of AI based generative image synthesis (e.g. ComfyUI) Analysis of applications of generic AI in the design or UI/UX area

Conception and development of the tool: definition of requirements for the tool in cooperation with the department Development of a suitable architecture for the tool Implementation of the tool Integration of interfaces for inputting ideas and technical data

Training and evaluation of the AI model: Component design based on steering wheel Creation of a suitable set of steering wheel designs Training of the generative AI model with the created dataset Evaluation of results using quantitative and qualitative metrics

Interior design Creation of a suitable data set of the vehicle interior Training of the generative AI model with the created dataset Evaluation of results using quantitative and qualitative metrics

Documentation and presentation: Creating a comprehensive documentation of work Creation of a user manual/training document for the operation of the tool Presentation of results before department

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

Studies in the field of interior design, computer science, data science, engineering or related studies Knowledge in the field of Artificial Intelligence, Machine Learning and Deep Learning Creativity and interest in design processes Self-employed and structured work We offer: Care by experienced staff of the department Overview of current design processes at Mercedes Benz Possibility to make a sustainable contribution to the optimization of future development processes at Mercedes Benz 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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