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Student Assistant for developing a small-scale cooperative vehicle demonstrator (f/m/x)
Job Description
Req ID:  4237
Place of work:  Ulm
Starting date:  01.04.2026
Career level:  Student employment
Type of employment:  Part time
Duration of contract:  6 months with the possibility of extension

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

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; 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!

 

At the DLR Institute for AI Security, we research and develop AI-related methods, processes, algorithms, technologies and execution and system environments. Our focus is on secure and standard-compliant AI, cybersecurity in open data and service ecosystems and AI, as well as automation in mobility and logistics.

 

What awaits you:

In the Execution Environments and Innovative Methods department, we bring together novel AI methods and challenging execution environments. In particular, we focus on the energy-efficient implementation of AI for mobile systems, quantum AI and neuromorphic AI approaches. The department thus provides innovative AI approaches for use in safety-critical applications.

 

We are looking for a motivated student to join a development project focused on building a demonstrator using identical vehicles at 1:10 scale. In this project, the student will work at the intersection of mechanical design, electronics, and software engineering, contributing to the integration of various electronic parts inside the vehicle chassis, as well as to the development of lightweight software for vehicle control and monitoring. At the end of the project, a simple AI driver will be deployed to control the vehicles and demonstrate basic cooperative driving scenarios such as platooning.

 

Expected Tasks:

  • Mounting electronic components on the mini-scale vehicle chassis. A 3D model of the vehicle will be provided, but modifications may be required to properly and securely integrate the electronics into the vehicle chassis
  • Assemble and wire the electronic components. This includes correctly adding resistors, capacitors, and inductors to tolerate electrical spikes, if required, and validating the system using measurement tools such as an oscilloscope
  • Implement lightweight software for monitoring and controlling the vehicle, which can communicate with a central server using REST API. The system architecture will be provided
  • At the end of the project, multiple mini-scale vehicles should be able to drive on a prepared floor with printed road layouts

 

Required Skills:

  • 3D modelling skills for designing and adapting mounting electronic components
  • Basic electrical engineering skills, including: soldering, reading datasheets, testing and debugging electronic circuits using appropriate tools
  • Experience in developing a REST API server for a user interface or control system
  • Ability to document all designs and procedures in a clear and formal way (e.g., schematics, layouts, wiring diagrams, and documentation of tests)
  • Teamwork skills including communication in both English and German

 

This position requires on-site presence in Ulm and up to 19.5 hours of weekly working time.

 

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 4237) please contact:

 

Hans-Martin Rieser 
Tel.: +49 731 400198 306