Student for thesis information gathering wiring harness

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: MER0003W2O In the Mercedes-Benz Technology Center (MTC), we develop the automotive generations of the future. The technical know-how of the brand is concentrated here. Our ambition is characterized by the visions and requirements of a mobile future. This is designed with innovative products in the highest quality and efficient development processes. Today, we are working globally on vehicles that will secure the technology leadership of Mercedes-Benz in the future. The increasing digitization has now also reached the automotive industry and thus the central nerve strand of electronic and electrical functions, the line set. You work with, in the design of methods and processes in digital product development in one of the most complex areas of automotive development, the line set, for the car series at Mercedes-Benz. The complexity of the line set is reflected in the high variance of our product and the diverse requirements. The development takes place in an environment of high technical innovations in automotive electrical engineering/electronics, closely interlinked with our internal and external suppliers and the global development and production sites. You work on the future of the automobile in a cross-functional team. Their research in the field of methods and processes for the digital management set development makes a significant contribution here. In the context of this work (“Automatized Information Collection from schematic Figures from the Management Set Development”), it is intended to examine how information from schematic Figures contained in rules for explaining the Management Set Development Process or the Process itself can be automatically transferred to formal logical structures. The aim is to develop a rule-based approach that enables logical relationships (e.g. when X, then Y) to be generated from graphical representations such as process sequences, diagrams or sketches. For this purpose, existing methods and techniques for information and structure recognition (e.g. OCR, ML, LLM approaches) are to be researched, evaluated and used as examples. As part of your final thesis, you are entrusted with the following topics: Introduction to the line set environment, the development process in the line set with the focus on rules, regulations and technical representations

Development of the state of the art and state of research (all, automotive industry, line set)

Identification, analysis and evaluation of methods for image recognition

Consideration and evaluation of existing solutions

Pre-thinking and developing new concepts for identifying images in the management set development process

Prototypic implementation and validation of the concept

Preparation of thesis, documentation and presentation of results

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

Course in Computer Science, Media Informatics, Business Informatics or a comparable course

Programming experience (in Python), safe handling of MS-Office, knowledge in the environment

Analytical and abstract thinking, technical understanding desired

Commitment, team capacity, strategic working, fun in creative working, strong target and result orientation, self-employment, good understanding and targeted communication skills, affinity for the products of Mercedes-Benz AG

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). Questions about the job will be answered to you by Mr Altner from the department, at +49 17630915961 Questions about the application process will be answered by HR Services at +49 711/17-99544.

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