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How Pedestrians Cross Roads: Head/Eye Movements as Predictors - Internship/Thesis
Job Description
Req ID:  788
Place of work:  Braunschweig
Starting date:  April 1, 2025
Career level:  Internship, Student research project and final thesis, Student employment
Type of employment:  Full-time
Duration of contract:  3-9 months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Vacancy-ID:  788 
Place of work:  Braunschweig 
Starting date:  April 1, 2025 
Career level:  Internship; Student employment; Student research project and final thesis 
Type of employment:  Full-time 
Duration of contract:  3-9 months 
Remuneration:  Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

 

At the Institute of Transportation Systems, around 250 employees from the fields of engineering, computer science and psychology, among others, conduct interdisciplinary research into the transport system of the future. We develop technology modules and architectures to increase the degree of automation of vehicles in order to make automated and networked transport more efficient, sustainable and safe.

 

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

What to expect

In a world where highly automated vehicles and pedestrians interact on the streets, a key challenge is understanding and predicting human behaviour.

For this research project, we are conducting a Virtual Reality (VR) study using the DLR pedestrian and vehicle simulators. Our aim is to investigate the decision-making processes of pedestrians when crossing roads. We will capture not only their walking behaviour but also their head and eye movements using eye-tracking and motion-tracking technologies.

The insights gained from this study will contribute to a deeper understanding of the human-vehicle interaction and help make automated vehicles safer and more efficient.

 

Your tasks

  • Contributing to an innovative VR study on pedestrian-vehicle interaction
  • Conducting experiments with participants in Virtual Reality
  • Processing and analysing eye-tracking & motion-tracking data (e.g. head and eye movements)
  • Statistical modelling of behaviour patterns using Python, Matlab or R
  • (Optional) Predicting pedestrian decisions, for example based on head movements or trajectories
  • (Optional) Collaborating on a scientific publication or conference contribution

 

Your profile

  • Ongoing studies in Psychology, Human Factors, Computer Science, Cognitive Science or similar
  • Interest in perception, decision-making processes, and traffic interaction
  • Previous experience in experimental research & data analysis
  • Knowledge of statistical analysis and modelling using Python, Matlab, R or similar
  • Independent, analytical and research-driven approach to work
  • High motivation to work creatively and solution-oriented, even in the face of unexpected challenges

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

 

We offer
DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

 

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 788) please contact:

 

Max Theisen
Tel.: 0531 2952453

 

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