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Research Scientist Automated Driving - Statistical Modelling for safety validation of AD-Systems (f/m/div.)


A comprehensive understanding of the vehicle's safety is key to any driver assistance and automated driving system. Our research group develops novel groundbreaking validation solutions using statistical modelling. If you are a dedicated functional safety enthusiast that wants to join this endeavor, we may have the perfect position for you.

  • As Research Scientist you develop cutting edge statistical methods and models that contribute decisively to the validation concept for automated vehicles.
  • You analyze and evaluate the data of automated vehicles.
  • Be part of the team defining measures for the validation of automated driving functions.
  • You work in an agile and diverse research team with exchange across several projects.
  • Last but not least you provide an argumentation basis for the safety of automated vehicles.
  • Education: Masters degree in mathematics, physics or electrical engineering with excellent academic achievements and with special stochastic knowledge; preferably PhD in related area
  • Personality: highly self-motivated, logical thinking, goal-oriented, flexible, team player
  • Working Practice: structured, methodical and creative
  • Experience and Knowledge: profound knowledge in Stochastic (theory) and statistical data evaluation, remarkable in structuring theoretical mathematical concepts, knowledge of perception and fusion principles and experience with multimodal sensor data desirable, first experience in the application of functional safety to ADAS and/or automated driving platforms (L3+), including standards such as ISO 26262 and the ISO PAS 21448 (SOTIF), excellent programming skills (C++, Matlab, Python)
  • Enthusiasm: passion for new ideas and development of solutions for real-world problems
  • Languages: fluent in English (written and spoken) and good in German
Full-time and/or part-time
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Was wir bieten

Full-time and/or part-time