Doctoral Researcher in Spacecraft Systems Engineering | Doktorand/-in im Bereich Raumfahrtsystemtechnik
Technische Universität München
Job Summary
This doctoral position focuses on cutting-edge research in AI-driven autonomy concepts for satellite constellations and missions, encompassing both space and ground segments. The researcher will be responsible for developing, implementing, and evaluating autonomous operational concepts and advanced AI/ML algorithms, such as agent-based frameworks, planning, and anomaly detection. A strong background in Spacecraft Systems Engineering, AI/Machine Learning, or Autonomous Systems is required, along with solid programming skills in languages like Python or C/C++. The role involves publishing results in high-caliber professional journals, contributing to project reports, and supporting teaching activities at the Technical University of Munich (TUM). This is an exciting opportunity to work within an international research team on real-world space missions, including a CubeSat mission (EventSat), at the intersection of systems engineering and artificial intelligence.
Required Skills
Education
Doctoral degree enrollment (Required); University degree in a relevant field (Implied prerequisite for Doctoral studies)
Experience
- Professional experience in Spacecraft Systems Engineering or Satellite Mission Design
- Professional experience in AI, Machine Learning, or Intelligent Agents
- Professional experience with Autonomous Systems, Control, or Operations Research
- Experience with practical space missions and the interface between systems engineering and AI
- Experience in academic research and publication
Languages
Additional
- Must be interested in practical space missions; Must be willing to support teaching and supervision activities at the Chair for Spacecraft Systems
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