Research Associate - Advanced Radar Methods for Space Surveillance | Wissenschaftliche*r Mitarbeiter*in - Fortschrittliche Radarverfahren zur Weltraumüberwachung
Fraunhofer-Gesellschaft e.V. Zentrale München
Job Summary
As a Research Associate at the Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR), you will join the 'Radar Intelligence' research group to develop cutting-edge methods for detecting, tracking, and characterizing space objects. Your day-to-day work involves developing and implementing advanced signal processing algorithms, data fusion techniques, and simulations for radar networks and phased-array systems. You will translate complex physical principles into efficient code and contribute to international research projects aimed at protecting satellite infrastructure from space debris. This role is particularly attractive due to its access to world-class facilities like the TIRA and GESTRA radar systems, a highly collaborative environment with renowned international partners, and a strong culture of professional development that includes the possibility of pursuing a PhD. The position offers a flexible 39-hour work week with mobile work options and a family-friendly atmosphere in Wachtberg, near Bonn.
Required Skills
Education
University degree (Master's or equivalent) in Mathematics, Electrical Engineering, Information Technology, or a comparable qualification.
Experience
- Professional experience in signal processing, data analysis, and sensor data fusion
- Proven experience in programming with Python or comparable languages
- Experience in implementing complex physical relationships into efficient software code
- Background in independent scientific documentation and presentation of research results
- Experience in radar technology, astrodynamics, or machine learning is highly desirable
Languages
Additional
- This is a fixed-term contract for 2 years. The role is based in Wachtberg (near Bonn) with a 39-hour work week. Candidates must be able to work in a public service (TVöD) framework.
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