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Student Assistant - Computer Vision and Software Engineering

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Job Description

A key challenge in automated driving is a robust environment perception. Therefore, modern computer vision methods are used. Essential for the success of these algorithms is an efficient processing of the information, starting with receiving the data from the sensor, up to the processing with the help of Deep Learning. During your work as a student assistant you will be developing algorithms for the connection of new infrared camera sensors to the ROS middleware in order to make the advantages of multispectral object-detection algorithms available for automated driving. You will have the opportunity to test the software you have developed on a real system and to work with modern hardware.

TASKS You can expect a variety of possible tasks. Among others we are looking for support in the following areas.

  • Implementation of a software interface in C++ with the middleware ROS for the integration of new infrared-cameras
  • Development of computer vision algorithms in the context of multispectral object-detection
  • Integration of your software on the real technical system


  • An interdisciplinary research environment with partners from science and industry
  • A constructive collaboration with bright, motivated employees
  • A pleasant working atmosphere
  • Modern hardware
  • Openness to creative ideas


  • Ability to implement both state of the art and experimental algorithms
  • Programming experience in C++ necessary
  • Familiarity with ROS and Linux desirable
  • Familiarity with Python and Tensorflow advantageous
  • Sound English or German skills
  • High creativity and productivity
  • Knowledge in the field of artificial intelligence (especially searching and learning), game theory or related areas are a plus
  • Experiences with methods for searching and learning, e.g. Monte Carlo tree search/Reinforcement Learning are a plus


  • current transcript of records
  • CV

CONTACT Jens Weber

Job Type

Student Assistants / Tutors

Link PDF

No information available

Contact Person

Jens Weber

Research Group

Applied Technical Cognitive Systems

Closing Date for Applications

No information available