Mercedes-Benz AG | Germany | 70xxx Stuttgart | Part time - flexible / Full time / Home office | Published since: 28.01.2026 on stepstone.de
Student for Master's Thesis NVH Drive Systems
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: MER0003Y65
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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: MER0003Y65 The Untertürkheim plant is home to the Mercedes-Benz car engines, axes and gearboxes and their production. The department NVH (Noise, Vibration, Harshness) Drive Systems is concerned with the development and testing of new technologies and concepts for optimizing the acoustics of the drive trains of all car series. In the early development phase, modelling using CAE (Computer-Aided Engineering) software is essential. Both FE (finite elements) and MK (multibody) simulations are used. The simulation models allow the body and airborne sound to be predicted and thus evaluated. The physical relationships which define the structural dynamics and finally the acoustics of the entire drive train are complex in this case. Sensitivity and main influence components of the drive train are usually not immediately apparent. For this reason, the derivation of metamodels of these complex FE and MK simulations has established itself. Influence parameters can be identified and the structural dynamics of the drive train can be optimized in a targeted manner. As part of the master thesis, a metamodel is to be derived for the FE-MK simulation model of an 8-cylinder internal combustion engine. Based on the metamodel, the sensitivities and parameters are to be investigated and represented, which significantly influence the structure-borne sound, as well as radiated airborne sound. Finally, an optimal configuration of the parameterization of the 8-cylinder engine is to be found, so that defined acoustic target values are achieved. Among other things, the following challenges come to you: incorporation into the existing FE-MK simulation model of the V8 engine Development of a method for targeting a body/airborne sound metamodel Implementation and evaluation of FE and MK simulations handling large simulation data volumes, as well as evaluation by statistics and machine learning Selection and implementation of suitable AI methods and frameworks for implementing the V8 Powertrain metamodel Programming of codes in various programming languages Documentation and presentation of solutions and results The activity can begin from mid-March 2026. The final topics will be discussed with the university, you and us.
Course in the field of artificial intelligence, simulation technology, aerospace technology, vehicle engineering, mechanical engineering or comparable Knowledge and experience in artificial intelligence, such as AI architectures, machine learning, deep learning and data management Knowledge of how to use FE and MK software such as Nastran, Abaqus, OptiStuct and Simdrive are beneficial Extensive knowledge of how to use programming languages such as Python, Java Basic knowledge of NVH, vibration technology or machine dynamics are desirable Secure handling of MS-Office and Linux Secure knowledge of German and English in word and writing Commitment and team skills Self-employed and communicative work Analytical thinking Readiness to learn Success and perseverance Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and to observe the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-untertuerkheim@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).
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 Child care Parking space Kantine, Café Business doctor Good connection Accessibility
Location
![]() | Mercedes-Benz AG | |
| 70372 Stuttgart | ||
| Germany |
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