PhD Position in Space Systems Engineering – AI Autonomy for Satellite Operations
The Chair of Spacecraft Systems at the Technical University of Munich (TUM) invites applications for a PhD position in Space Systems Engineering focused on AI-based autonomy for satellite operations. The position is fully funded, with 50% of the funding provided by AUTOPS, a DLR-funded grant on autonomous operations, and 50% by state funds. The successful candidate is expected to dedicate approximately 50% of their time to research and development within the AUTOPS project and 50% to supporting the development of the EventSat CubeSat technology demonstration mission, which carries a neuromorphic vision sensor payload for space-based object detection and autonomy experiments, with strong synergies between the two activities.
Research Focus
- AUTOPS: AI autonomy for satellite operations, including:
- Build the trade space to evaluate the trade-off between ground-based and AI-based on-board satellite operations.
- AI agents supporting mission planning, anomaly detection and recovery, and autonomous decision-making in ground and space segments.
- EventSat:
- Supporting the development of the on-board data processing pipeline on the 6U EventSat payload.
Your Tasks
- Conduct research on AI-driven autonomy concepts for satellite constellations and missions (both space and ground segments).
- Contribute to the assessment and exploration of the trade space involving different levels of ground-based and AI-driven onboard autonomy.
- Develop, implement, and evaluate autonomous operations concepts and AI/ML algorithms (e.g., agent-based frameworks, planning, anomaly detection).
- Contribute to the design, integration, testing, and operations preparation for the EventSat mission, with emphasis on on-board data processing.
- Publish results in high-quality venues and contribute to project reports and presentations.
- Support teaching and supervision activities within the Chair of Spacecraft Systems (e.g., student theses and projects), as customary for PhD positions at TUM.
Your Profile
- Master’s degree (or equivalent) in Aerospace Engineering, Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong background in at least one of the following:
- Space systems engineering / satellite mission design
- AI/machine learning/intelligent agents
- Autonomous systems, control, or operations research
- Solid programming skills (e.g., Python, C/C++); experience with ML frameworks is an asset.
- Interest in hands-on space missions and working at the interface of systems engineering and AI.
- Very good command of English (spoken and written); German is an advantage but not required.
We Offer
- A full-time PhD position in an international research team at TUM’s Chair of Spacecraft Systems in Ottobrunn.
- The opportunity to contribute to cutting-edge research on satellite autonomy and to a real CubeSat mission (EventSat).
Close collaboration with other PhD students and researchers in space systems, AI, and neuromorphic sensing.
Application
Please send a single PDF including:
- Motivation letter (max. 1–2 pages)
- CV
- Academic transcripts (Bachelor's and Master's)
- Contact details of up to two referees
to TUM Chair of Spacecraft Systems office.sps(at)tum.de
with the subject line:
“Application – PhD AI Autonomy / AUTOPS – [Your Name]”
Review of applications will begin immediately and continue until the position is filled.