Working Student for ML-based NVH Simulation

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: MER0003PCI Our department (RD/VFC) is responsible for the overall vehicle integration NVH (Noise, Vibrations, Harshness) in the Mercedes-Benz Cars business segment. We develop the function NVH for all series with CAE (Computer Aided Engineering) and Testing. The aim is to achieve the best possible vibrational and vibroacoustic design, in particular with respect to the rolling noise and the rugged vibrations, with the lowest possible cost, weight and package requirements. Our team consists of 12 highly motivated and friendly employees who are looking forward to your support. We are very dedicated and always work together for each other, with passion and harmoniously. We attach great importance to communicating with each other directly and regularly. Mobile work is regularly used by us. In addition, it is important for us to deal constructively and honestly with each other. As part of the further development of our tool chains, you will participate in the implementation of an AI/ML-based development method. You develop your own code components in Python as an integral part of our tool landscape and contribute to a holistic development process with your creativity. This allows us to make the vehicle of the future even more quiet and comfortable. These challenges include: Development of code building blocks in Python

Complex problems in the field of total vehicle simulation, which require creative solutions and new ideas

Dealing with large simulation data volumes and their evaluation using statistics and machine learning

Presentation and discussion of your work in the field

The work student activity can start from August 2025.

Course in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Mechatronics, Computer Science or a comparable degree course

Secure knowledge of German and English in word and writing

Secure handling of MS-Office and Linux

Knowledge of Python and Git

Analytical thinking and strategic working

Designed interest in programming and method development and digital product development

Commitment and team skills

Additional information: Of course, without formalities, we are not. Please apply exclusively online and add a CV to your application, current enrollment certificate with semester indication, current grade, relevant certificates, if applicable. Compulsory internship certificate and proof of the rule period (maximum size of the annexes 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 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).

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