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Our department “Automated Driving and Parking” is responsible for the series development of automated driving functions at SAE Level 2 hands-free and SAE Level 4 “Highway Pilot” for Volkswagen at the complete vehicle level. The comprehensive and systematic verification and validation of these systems are carried out through a combination of extensive real vehicle data, safety-critical evaluation methods, and direct integration with development and release processes. In this doctoral position, you will work at the interface of data science, automated driving, and system validation – with direct relevance to production vehicles and large-scale fleet data. This allows you to make a measurable contribution to the safety of automated driving functions using real vehicle data. From the very beginning, you will be involved in the validation and release of modern driver assistance and automated driving functions and will develop data-driven methods to systematically identify, assess, and translate real driving scenarios into robust safety cases. You will work in an interdisciplinary team of engineers and data science experts and engage in close technical exchange across team and disciplinary boundaries.
Job Responsibility:
Analyzing large-scale real-world driving datasets to identify safety-critical driving episodes
Detecting, segmenting, and structuring driving scenarios relevant to the operational domain of automated driving functions
Enriching identified scenarios with relevant environmental, infrastructure, and system attributes
Developing a machine-readable, data-driven scenario catalog
Deriving safety metrics and contributing to evidence-based validation and release decisions
Requirements:
Good to very good university degree qualifying for doctoral studies in computer science, data science, systems engineering, robotics, or a comparable field of study
Strong knowledge of data analysis and machine learning, ideally with experience in time series or sequential data
Experience with statistical analysis as well as clustering or classification methods
Basic understanding of complex technical systems, ideally in the context of automated or cyber-physical systems
English language level C1, German language level B1
Analytical and structured working style
High level of self-motivation for scientific research
Ability to work in an interdisciplinary environment
What we offer:
Attractive salary
30 vacation days (+ 24.12. and 31.12. off)
35-hour week
flexible working hours
remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group