Master Thesis (w/m/d) - Teaching Spacecraft to Reason
Required skills
Job description
German Aerospace Center (DLR) posted this role. Below, we break down what it means for a working student in Oberpfaffenhofen: your weekly hours, take-home pay and visa limits.
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Description provided by German Aerospace Center (DLR)
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 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
Working student essentials
What this Tech working student role in Oberpfaffenhofen means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
