Mercedes-Benz AG | Germany | Sindelfingen | Temporary contract | Full time / Home office | Published since: 06.05.2025 on stepstone.de
Thesis in the field of chassis from June 2025 - Development of an algorithm for the detection of vehicle contact
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: MER0003MDR JOBV1_EN
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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: MER0003MDR The department is responsible for the development and integration of suspension damper and suspension spring systems. In addition to the classic elements of spiral springs and conventional dampers, these include active systems such as AIRMATIC and MAGIC BODY CONTROL and their control.
Within the scope of this master thesis, a system for detecting vehicle touches with objects is to be developed. The aim is to precisely detect and analyze these contacts by existing sensors in the vehicle or by widening the sensor circumference. Approaches are to be followed by classical signal analysis, but also by the use of neural networks. Tasks: Literature research: Investigation of existing methods for detecting vehicle touches with objects and analysis of the sensors and algorithms used Sensor integration: Identification and integration of suitable sensors in the vehicle to capture relevant data Algorithm development: Development and implementation of an algorithm for detecting vehicle touches. This can be done by classical signal analysis or by the use of neural networks Test and validation: performing tests in the vehicle to validate the developed system. Analysis of the test results and optimization of the algorithm Documentation: Detailed documentation of work steps, results and findings
The final topics will be discussed with the university, you and us.
Studies of engineering, computer science, vehicle engineering or a comparable degree programme Knowledge of signal processing and/or neural networks Experience with sensor integration and data analysis Programming skills (e.g. Python, MATLAB) Ability to work independently and structured Secure knowledge of German and English in word and writing Safe handling of MS Office Commitment Team skills 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, please contact the SBV-Sindelfingen@mercedes-benz.com, as well as the seriously disabled representative of the site, which 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).
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
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![]() | Mercedes-Benz AG | |
Sindelfingen | ||
Germany |
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