0Student for Master's Thesis AI Tools Digital Twins Simulation
Mercedes-Benz AG | Germany | 73xxx Esslingen am Neckar | Full time / Home office | Published since: 17.12.2025 on stepstone.de

Student for Master's Thesis AI Tools Digital Twins Simulation

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


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: MER0003WDN

Your tasks • Your profile • What we offer

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: MER0003WDN We are Mercedes-Benz Production and Engineering IT. In close cooperation with Research & Development and Manufacturing & Operation, we are driving forward the digitization of the future working world. Here you will be on the topics virtual product development, digital twins and algorithms in the environment of artificial intelligence (AI) work with highly motivated employees.

A digital twin is the digital image of a real product. It contains all the information of the physical system that occurs throughout the life cycle. In the automotive industry, the digital twin is understood as the sum of all data generated by a vehicle in its product life cycle.

Depending on the application, you will support the implementation of AI algorithms in development areas of a company and implement CAD part models within the Digital Twin, PDM system and Engineering Bill of Material (E-BOM). These challenges come to you: Literature research on Industry 4.0, Digital Twins, AI tools, CAD modelling and PDM systems

Construction of an exemplary product with the help of CAD/PDM software

Construction and implementation of a prototypical test and test environment related to Application cases

Construction and implementation of IT interfaces to the test environment

Validation and verification of applications

Sustainable documentation of the results

The development of AI tools for the geometry and behavioral simulation of Digital Twins in the automotive can begin from 02/2026. The final topics will be discussed with the university, you and us.

Course in Computational Engineering, Computer Science, Engineering, Mechanical Engineering, Computer Science or Comparable

Secure knowledge of German and English in word and writing

Safe handling of MS Office

Application-oriented experience with CAD software (e.g. NX, Catia, SolidWorks, Creo, ProE etc.)

Theoretical knowledge in vehicle technology and virtual product development

Experiences in agile software development and project management (e.g. Scrum, SaFe etc.)

First practical experience in software development is desirable (C#, C++ or Python)

Basic knowledge in modeling and business process design are desirable (e.g. BMNP, SysML, UML)

Commitment and team skills

Analytical thinking and strategic working

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with an indication of 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

Location

ava Mercedes-Benz AG
73733  Esslingen am Neckar
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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