PhD student for Automated Early Detection of Technical Anomalies, Root Cause Analysis and Failure Prediction to Increase Operational Stability for Driverless Vehicle Testing

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: MER0004595 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. Our department is responsible for the following: Automated early detection of technical anomalies, cause analysis and failure forecast to increase operational stability for driverless vehicle testing. Your tasks include: Analysis of the state of the art in the area of fault detection and diagnosis

Processing in measurement technology systems of test vehicles

Introduction to driverless vehicle testing

Investigation and development of solutions in driverless use cases to detect, categorize and analyze errors

Creation of failure forecasts based on error and diagnostic data

Increase operational stability in driverless test scenarios

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.

Complete study of electrical engineering, vehicle engineering, automation technology, etc.

Basic understanding of electrical engineering relationships

Vehicle approval

Versified handling of data collection and analysis

Experience with measuring systems

Secure knowledge of German and English in word and writing

Safe handling of MS Office

Commitment and team skills

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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