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Mercedes-Benz AG | Germany | Sindelfingen | Temporary contract | Full time / Home office | Published since: 21.02.2025 on stepstone.de

PhD in the field of chassis on the use of artificial intelligence in load determination from July 2025

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


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: MER0003K7Q

* After clicking the 'Read more' button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the 'Translation' button.

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: MER0003K7Q The Department of Operational Strength Standards (RD/VDS) is responsible for the operational strength chassis and carries out, inter alia, the corresponding detection for series release. Along the development phase up to the series release, we create load-collective calculations and measurements for the entire vehicle and for the chassis strength calculations and tests, as well as screw fittings and experimental analyses. The main basis for these tasks are load measurements in development vehicles and the knowledge of the expected loads in the customer vehicles used worldwide. The relevant load variables can usually not be detected directly by existing sensors. Therefore, expensive measuring technology is used in developing vehicles in order to measure, for example, component forces or drive torques. On the other hand, the relevant variables must be estimated at non-accessible places or for vehicles without special measuring technology. For this purpose, models are required which, based on existing signals, estimate the loads and the resulting fatigue of the component. These so-called virtual sensors can be simple transmission functions, but also functions based specifically on pattern recognition by artificial intelligence. These challenges include: As part of your doctoral thesis, you will develop the complete state of the art on this topic and you will evaluate various methods for the use of virtual sensors based on the boundary conditions regarding the hardware and software to be used. They evaluate the prediction quality and robustness of the virtual sensors and define the framework conditions for the future series use in Mercedes-Benz cars - based on You have a scientific approach to the application-proof assessment of the local and location-independent component load on the basis of virtual sensors with measuring technology present in the vehicle You will publish the scientific results in scientific journals and conferences in consultation with your supervisors Adjustment requirement is the support of the doctoral project by a university lecturer. The selection of a corresponding person is the responsibility of the doctoral student.

Course of Engineering, Computer Science, Mathematics or Comparable with reference to Data Analytics / Science and Materials Experience in programming (Python, Matlab, etc.) Experience in the application of statistical methods and artificial intelligence Knowledge in the surrounding chassis and multibody system simulation Secure knowledge of German and English in word and writing Good method of expression in word and writing on the publication of scientific results Commitment and team skills Analytical thinking and strategic working Do you want to make your doctorate in cooperation with Mercedes-Benz Group AG? We offer you an international network of experts, research materials, work insights and personal mentors that will assist you as a contact person in addition to your faculty. Doctorate at a renowned university with the support of Mercedes-Benz Group AG as a non-academic partner – and use the expertise of a globally active group. Additional information: Do you want to make your doctorate in cooperation with Mercedes-Benz Group AG? We offer you an international network of experts, research materials, work insights and personal mentors that will assist you as a contact person in addition to your faculty. Doctorate at a renowned university with the support of Mercedes-Benz Group AG as a non-academic partner – and use the know-how of a globally active group. Please apply exclusively online and mark your application documents as ''relevant for this application' in the online form. 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 applications for disabled people and disabled people. At SBV-Sindelfingen@mercedes-benz.com you can also contact the site's severely disabled representative, who will be happy to support you in the further application process. 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 Kantine, Café Business doctor Child care Parking space Good connection Accessibility

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ava 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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