Doktorand*in für Promotion Data-Driven Validation of ADAS and Automated Driving Functions

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Number: MER00047DE Mercedes-Benz Group AG is one of the most successful automotive companies in the world and is one of the largest providers of premium and luxury cars and vans with Mercedes-Benz AG. Our team ''Onroad Testing & Field Validation'' in the field of ADAS & AD Testing & Data Analytics actively promotes the vision of accident-free and autonomous driving. We investigate and evaluate the latest driver assistance systems from customer perspective and thus contribute significantly to product development. About the project The validation of modern driver assistance systems and automated driving functions is now mainly based on defined test scenarios within the respective Operational Design Domain (ODD). At the same time, large quantities of real-time operating data from vehicle fleets are increasingly available, which open up new possibilities for data-driven alignment and optimization of future security strategies. As part of this promotion, you will examine how real customer usage data can be used to quantitatively evaluate the actual relevance and risk potential of different operating conditions and derive more efficient, risk-based validation strategies. The aim is to develop a scientifically sound model that integrates real vehicle use, ODD descriptions, scenario coverage and risk assessments and derives recommendations for action for the targeted planning of future test and validation activities. Your duties Analysis of real vehicle and customer usage data to assess the actual use of driver assistance systems Analysis of the distribution of relevant operating conditions within different ODD dimensions Comparison of real usage profiles with existing scenario catalogs as well as test and validation strategies Development of methods for quantitative evaluation of relevance, risk and validation coverage Identification of coverage gaps and optimization potentials within existing security concepts Development of a data-driven prioritization model for the efficient use of limited test and validation resources Scientific preparation and publication of research results at national and international conferences Possible working title of the doctorate: Evaluation of Real-World Operating Conditions and Risk-Based Optimization of Validation Strategies for Driver Assistance Systems Based on Real-World Customer Usage Data. 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 degree programme in the field of automotive engineering, electrical engineering, mechanical engineering, industrial informatics, industrial engineering, media informatics or a comparable degree programme Secure knowledge of German and English in word and writing Secure handling of MS-Office (MS365) Knowledge in Confluence Cloud, Jira Cloud, Programming Languages (e.g. Python, Matlab) or Comparable are advantageous Knowledge in AI, databases, Linux, DTS Monaco, QGis, dashboarding tools (e.g. PowerBI) are desirable You have a strong team skills and you actively contribute You work proactively and adapt your new situations quickly You solve complex problems structured and targeted 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. 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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