PhD Student, Data Analytics, Automated Driving

📋 Description

• Analyzing extensive real-world driving datasets to pinpoint safety-critical driving incidents.

• Identifying, segmenting, and structuring driving scenarios pertinent to the operational domain of automated driving functionalities.

• Enhancing identified scenarios with essential environmental, infrastructure, and system characteristics.

• Creating a machine-readable, data-driven catalog of scenarios.

• Formulating safety metrics and contributing to evidence-based validation and release decisions.

• The final doctoral topic will be established collaboratively with the professor.

⛳️ Requirements

• A good to very good university degree that qualifies for doctoral studies in computer science, data science, systems engineering, robotics, or a related field of study.

• Strong expertise in data analysis and machine learning, preferably with experience in time series or sequential data.

• Familiarity with statistical analysis, as well as clustering or classification techniques.

• Basic understanding of complex technical systems, ideally within the context of automated or cyber-physical systems.

• Proficiency in English at C1 level and German at B1 level.

• An analytical and structured approach to work.

• A high degree of self-motivation for conducting scientific research.

• Ability to thrive in an interdisciplinary environment.

🏝️ Benefits

• Competitive salary & 30 vacation days (+ December 24th and 31st off).

• 35-hour workweek, flexible working hours, and remote work options.

• Special conditions for the purchase and leasing of vehicles.

• Complimentary seminars on scientific work and interdisciplinary qualifications.

• Involvement in the doctoral network for scientific exchange with representatives from academia and fellow doctoral candidates within the Volkswagen Group.