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Master Thesis (w/m/d) - Teaching Spacecraft to Reason
Job Description
Req ID:  5928
Place of work:  Oberpfaffenhofen
Starting date:  ab sofort
Career level:  Student research project and final thesis
Type of employment:  Part time, Full-time
Duration of contract:  3-6 Monate

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 12,000 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!

The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, make a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research. Our areas of competence include reliable and safety-critical software systems, artificial intelligence, high-performance computing and quantum computing, human-system interaction and visualisation, software and systems engineering as well as digital platforms and digital twins.

 

What to expect

In the Flight Software Department, we conduct research and develop reliable and resilient (real-time) software for aircraft and spacecraft. With our expertise in this field, we currently support approximately 20 space missions with software engineering and software quality assurance.

 

Modern space systems are increasingly relying on sub-symbolic AI, which, however, carries risks such as a lack of traceability and unforeseen side effects. Neuro-symbolic AI has been developed to avoid misinterpretations and unreliable behaviour. This concept combines the learning capabilities of sub-symbolic methods with the reliability of symbolic, rule-based systems. The aim is to enable transparent and robust decision-making. The aim of this Master’s thesis is to develop and test a framework that makes AI applications on spacecraft safe, robust and resilient.

 

Your tasks

  • research and evaluation of state-of-the-art neuro-symbolic AI for embedded systems
  • conceptualisation and design of a neuro-symbolic AI framework
  • prototype implementation of the framework on the StellarApps platform
  • evaluation of the neuro-symbolic AI framework

 

Your profile

  • currently enrolled on a Master’s degree programme in Computer Science, Applied Computer Science, Electrical Engineering or a comparable subject
  • experience in software development for embedded systems in C, C++ or Rust
  • experience in the field of artificial intelligence and its applications
  • You are able to communicate in English (supervision may be conducted in English or German).

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 5928) please contact:

 

Andreas Lund 
Tel.: +49 531 295 2043
Apply now