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Number: MER00048R2 In the area of NVH Drive Systems and Integration, we are engaged in the development and optimization of drive systems with regard to noise, vibration and acoustic behavior. Using modern simulation methods, we analyze the structural dynamics of drive systems and their integration into the entire vehicle. We use innovative methods from CAE, data analysis and artificial intelligence to make development processes more efficient and to improve the prediction quality of simulation models. For this challenging and exciting task we are looking for you as a doctoral student for doctoral NVH Drive Systems and Integration. These challenges include: incorporation into existing FE and multibody simulation models Development of a data-driven methodology for creating metamodels for predicting body and airborne sound transmissions Implementation, evaluation and interpretation of FE and multibody simulations Analysis of large simulation data volumes using statistics, machine learning, large language models and AI agencies Selection, implementation and optimization of suitable AI methods and frameworks for metamodeling and automated parameter optimization Programming and development of software solutions in various programming languages Documentation, presentation and discussion of the developed solutions and research results The final topics will be dealt with in consultation with the university, you and us. 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. We offer: Working on an innovative research topic at the interface of CAE, Artificial Intelligence and Drive Development Cooperation with experienced experts in the fields of simulation, acoustics and data analysis Access to modern simulation and development methods Possibility of further scientific development within a doctorate An exciting working environment with direct reference to future vehicle and drive generations The activity can begin from November 2026.

Professional qualifications: Complete studies in the field of Artificial Intelligence, Simulation Technology, Aerospace Technology, Automotive Engineering, Mechanical Engineering or a comparable study Knowledge and experience in the field of Artificial Intelligence, in particular in the fields of machine learning, deep learning, data management and AI architectures Known knowledge of FE and multibody simulation software, such as Nastran, Abaqus, OptiStruct and SimDrive, are of advantage Excellent knowledge in programming languages such as Python, Java and SQL 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 Personal qualifications: Commitment Team skills Self-employed and communicative work Analytical thinking and strategic working Readiness to learn Success orientation and perseverance Additional information: Doctorate in the Mercedes-Benz Group! Benefit from our know-how, an international expertise network, research materials, work insights and personal support by mentors – in addition to your university. Further information can be found here. We look forward to your online application with CV, Letters and Certificates. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-untertuerkheim@mercedes-benz.com) is happy to support you in the application process. People Solutions 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).

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