Mercedes-Benz AG | Germany | Sindelfingen | Full time / Home office | Published since: 19.02.2025 on stepstone.de
Thesis on sensor networks in the field of radar from April 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: MER0003JAS
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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: MER0003JAS Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. The world's first In December 2021, Mercedes-Benz met the demanding legal requirements of the UN-R157 international directive for a level 3 system that enables highly automated driving. In the context of autonomous driving (AD) and advanced driver assistance systems (ADAS), our department is responsible for the integrated hardware and software solutions of radar-based environment detection. As part of this final work, we offer the opportunity to work on research into new algorithms and sensor concepts. In the context of this work, sensor networks from several radar sensors are to be examined. For the design of such systems there are a large number of degrees of freedom which are to be optimally exploited. With the help of simulation tools and data from test drives, various concepts are designed, investigated and meaningful comparison parameters are developed. These challenges come to you: Integration into various radar network concepts and design methods Design and implementation of test scenarios for simulation Testing the concepts on the vehicle Comparison of approaches using suitable parameters in simulation and measurement
The final topics will be discussed with the university, you and us.
Studies in electrical engineering, computer science, physics or a comparable course of studies Basic knowledge of mathematical optimization methods Experience with open source simulation tools (e.g. CARLA) Secure knowledge of English in word and writing Very good programming knowledge in Python They are characterized by the following personal skills: Enthusiasm for challenging topics in the field of radar sensor technology and environment detection High level of self-initiative and self-employment To test new solutions and solve technical problems Ability to develop and share knowledge with the team 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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![]() | Mercedes-Benz AG | |
Sindelfingen | ||
Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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