Student for Bachelor's thesis AI-based eDrive design

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: MER00046LL Are you attached to the product innovations at Mercedes-Benz? Do you want to work in the exciting field of electromobility and make your contribution to the mobility of the future? The areas “Project Management of Electric Drivetrain Large Cars” and “Digital Drive Development & Simulation c-/e-Drive” are concerned with the design of electric drive systems and the digitization of development processes. The design of the eDrive overall system uses sales requirements, customer, continuous data and other data sources as well as different simulation and development methods. Within the framework of the written work, an overview of the customer's requirements over the entire design range is to be created using different data sources and existing specification gaps are to be identified. For this purpose, it is first necessary to check the available data sources on their data quality in order to define customer groups and usable characteristics & features in the further procedure and to be able to describe the behavior of customer clusters. The work is accompanied by a literature research for different machine learning approaches that are intended to be used for the topic. The following tasks are to be processed with the example of a vehicle series: Analysis of existing data sources with the aim of being able to evaluate the requirements from the product page

Checking the data quality of the available data and showing specification gaps

Data pipeline and toolchain for AI analysis of existing data sources

Development of a neural network to compensate for requirements for field data

Comparison Results from neural network approach to conventional algorithm

Activity can begin from 01.10.26 The final topics will be discussed with the university, you and us.

Course in the field of Artificial Intelligence, Data Science Engineering, Mechatronics, Computer Science, Vehicle Technology, etc.

Secure knowledge of German and/or English

Good understanding in the fields of data analytics, machine learning, algorithm development and basic knowledge of electromobility/electric drivetrain development

Good knowledge of data analysis, cloud computing and simulation tools (Matlab, MS-Azure/Databricks, etc.)

Reliability, commitment, independentness and teamability

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-sindelfingen@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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