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Research Assistant | Cooperatively Interacting Automobiles

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Job Description

Automated, cooperative vehicles have to make decisions in road traffic in a highly dynamic, interacting and incompletely perceptible environment. Previous approaches are usually only considering an egocentric perspective, without considering any cooperative aspects, with or between others.

For the prediction and planning of cooperative driving maneuvers, a method is to be developed which takes account of the interdependencies of the individual traffic participants, as well as modeling the system states probabilistically.


The project encompasses a variety of tasks among other things we seek support in the following areas.

  • Modeling of cooperative driver models
  • Generating semantic environment models
  • Inferring cooperative aspects
  • Developing cost metrics for driving maneuvers
  • Parallelizing of the search method
  • Description and creation of test scenarios


  • An interdisciplinary research environment with partners from science and industry
  • A constructive collaboration with bright, motivated employees
  • A pleasant working atmosphere


  • Ability to implement both state of the art and experimental algorithms
  • Basic C++ knowledge (C++11, STL, etc.)
  • Sound English or German skills
  • High creativity and productivity
  • Knowledge in the field of artificial intelligence, game theory or related areas are a plus
  • Experiences with graph search algorithms, e.g. Monte Carlo tree search are a plus


  • current transcript of records
  • CV


Karl Kurzer

Job Type

Student Assistants / Tutors

Link PDF

No information available

Contact Person

Karl Kurzer

Research Group

Applied Technical Cognitive Systems

Closing Date for Applications