Master's thesis in the field of chassis calibration from October 2025

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: MER0003MDP Mercedes-Benz is looking for a studying person to support process development. If you are inspiring for automated driving, suspension technology, complex sensor technologies and programming in Python, this master thesis is your chance. You will participate in the development of calibrating procedures for chassis and gain insights into board management, requirements management, economic considerations and the planning and implementation of production tests. Are you intrigued by automated driving and the sensor systems installed in chassis? Are you also passionate about the world of programming, especially in Python? In the analysis of data, measurement technology and python, this master thesis offers experienced students the opportunity to introduce and deepen your knowledge in this exciting topic. You will optimize existing calibration methods, analyze their suitability for series production and carry out investigations on the stability of the algorithms for different vehicle types, both with test setups, test vehicles and series production. You will develop data-based algorithms to accelerate the calibration of the chassis. For these Python-based algorithms, performance indicators (KPIs) are generated for characterization and the measurability and process reliability 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. Course in Engineering, Industrial Engineering, Business Administration or a comparable degree course Interest in the automotive industry and in technical development processes 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 Analytical skills and an independent working method Secure handling of MS Office, especially Excel and PowerPoint Very good knowledge of German and English in word and writing Teamability, engagement and a quick understanding Additional information: Of course, without formalities, we are not. Please apply online only and add a CV to your application, current enrollment certificate, current grade, relevant certificates (maximum size of appendix 5 MB) and mark your application documents as ''relevant to this application' in the online form. 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 support 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).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers JOBV1_EN