PhD student for Acoustics/ Sound Insulation

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Number: MER00044I4 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. As a premium manufacturer, the acoustic comfort and perceived sound character of a vehicle are decisive factors for customer satisfaction and the qualitative assessment in competition. In our team within the RD/VFC department we are responsible for functional design regarding sound insulation. The precise prediction and targeted design of the sound character over the entire frequency range, in particular in the challenging medium- and high-frequency range, is therefore of greatest importance. In addition, there is an urgent need for simplified, fast-to-use methods for early development phases, which, even without detailed simulation models, enable first valid statements on acoustic behavior and support design decisions. This doctoral project aims to close this gap and explore innovative approaches for a holistic, efficient and user-friendly acoustic development. Your tasks include: Development of hybrid simulation strategies: research and combination of wave-based (e.g. FEM, BEM) and energy-based (e.g. SEA, EFEM) and geometric (e.g. Ray Tracing) methods to efficiently cover the entire relevant frequency range Conception of fast-running models: development of simplified but meaningful simulation models (e.g. reduced order models, analytical approaches, parametric models) for rapid evaluation of design variants, also in combination with experimental data Validation and correlation: Conducting correlation studies between simulation results and experimental data (e.g. component tests, roller test bench, artificial head measurements, driving tests) to ensure model accuracy and the accuracy of the aggregated characteristic values Total vehicle system optimization: developing approaches to system-wide NVH optimization, taking into account complex interactions and using the developed simplified models Investigation of AI/ML applications: Investigation of the use of AI algorithms to accelerate simulation processes, predict noise levels and optimize design parameters The activity can begin from August 2026. 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.

A very well completed master's degree in Mechanical Engineering, Physics, Technical Acoustics, Computational Science or a comparable degree course Knowledge of numerical simulation (FEM, BEM, SEA) and/or experimental acoustics are advantageous Safe handling of programming languages such as Python and/or MATLAB Designed interest in vehicle acoustics, NVH and the development of innovative solutions for electromobility Analytical thinkability, a structured way of working and the ability to solve problems independently Good communication skills in German and English as well as the joy of working in an interdisciplinary team

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-sindelfingen@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).

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