Master's thesis in ADAS calibration from November 2025

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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: MER0003MDO Mercedes-Benz is looking for a student*in to support process development. If you are passionate about automated driving, complex sensor technologies and programming in Python, this master thesis is your chance. They will contribute to the development of calibrating procedures and gain insights into body management, requirements management, economic considerations and the planning and implementation of production tests. Entry questions: Are you intrigued by automated driving and the complex sensor systems integrated into vehicles? Are you also passionate about the world of programming, especially in Python? This master thesis offers experienced students in LIDAR, Camera and Python the opportunity to introduce and deepen their knowledge in this exciting topic. You will analyse new algorithms in a complex framework with regard to their suitability for series production and conduct investigations on the stability of algorithms in different directions of view, both with test setups and test vehicles. You will develop algorithms that identify objects, determine their location and classify them. For these Python-based algorithms, performance indicators (KPIs) are generated for characterization and the measuring capability is detected. These challenges come to you: Support in the development and implementation of calibration methods for new vehicle models Participation in requirement management to ensure that all technical and economic requirements are met Implementation of cost-effectiveness analyses and production of cost-benefit calculations Planning, implementation and support of experiments in production to validate calibration methods Cooperation with various departments and interface coordination Documentation and presentation of work results

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

Studies in the field of engineering, economic engineering, business management or a comparable degree programme First practical experience in project management and implementation of experiments are required Knowledge of sensor technology is required Good knowledge of python and image processing are required Knowledge in the area of factory planning / production planning are advantageous Secure handling of MS Office, especially Excel and PowerPoint Very good knowledge of German and English in word and writing Analytical skills and an independent working method Teamability, engagement and a quick understanding Interest in the automotive industry and in technical development processes Additional information: Of course, without formalities, we are not. Please apply exclusively online and add a CV to the application, current enrollment certificate, current grade, relevant certificates (maximum size of the appendix 5 MB) and in the online form mark your application documents as 'relevant for this application'. Further information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact SBV-Sindelfingen@mercedes-benz.com to the site's severely disabled representative, who will be happy to assist you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

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