Scientific activities / projects

KI-supported sensor data processing and environment perception for traffic automation

Starting date


Duration of contract

2 years


According to the German TVöD 14

Type of employment


"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Join us in shaping the future of mobility! Be part of an interdisciplinary team in which committed men and women have turned their passion for tomorrow's mobility into their profession. Work with us on numerous national and international projects together with our research partners and industry to develop cooperative and highly automated traffic systems on road, rail and in the air in order to increase efficiency, comfort and safety in traffic, especially in urban areas. We concentrate our research and development on automotive and rail systems, traffic and mobility management as well as intermodality and local public transport. The key objectives of our work are: Safety, efficiency, sustainability, economy and quality. Our research always focuses on the entire transport system with all its interactions.

To achieve these goals, cross-domain methods of sensor- and data-supported perception and environment detection are necessary. By knowing its own position and the current situation in which the traffic system is currently located, it can plan and execute its next steps automatically. After all, the networking and cooperation of automated rail, road and air vehicles in a coordinated overall system offer completely new possibilities that need to be researched and utilized for our society.

As part of your work, you will work with the Sensor Systems Group on topics including the following:

  • research, concepts and application of machine learning methods and methods of artificial intelligence for environmental perception and ego localization
  • processing of sensor (raw) data, evaluation of sensors and possible applications as well as integration of sensors and data processing methods into automated systems
  • development of methods for combining data and information from different sources
  • conceptual further development of the topic area on the basis of current research results

For your research, DLR offers you an integrated tool chain with numerous laboratories, (connectable) simulators, automated test rigs and research infrastructure in the field such as the Intelligent Mobility (AIM) application platform or the Test Bed Lower Saxony. People with professional experience or committed young professionals can expect a stimulating research environment, plenty of room for their own ideas and international visibility as well as responsible tasks to help shape the European and national environment.

Your qualifications:

  • university degree (diploma or master's degree) in information science, engineering or a comparable field of study
  • safe handling of methods of artificial intelligence and machine learning through several years of project work
  • sound knowledge in the field of fusion of data and information, as well as object recognition, classification and tracking
  • several years of experience in software development (C++/Python) and knowledge of relevant tools (e.g. cmake, git, svn)
  • passion for innovative research, scientific and systematic working methods, motivation and eagerness to perform
  • very good knowledge of written and spoken English
  • doctorate in computer science or similar with thematic reference to machine learning is desired
  • experience with robotics and image processing systems such as ROS and OpenCV would be an advantage
  • german language skills are desired

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Dr.-Ing. Franz Andert
Institute of Transportation Systems

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Vacancy 41244

HR department Braunschweig

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DLR site Braunschweig

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DLR Institute of Transportation Systems

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