Wissenschaftliche Mitarbeiter für Signalverarbeitung im Bereich Satellitenkommunikation

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The Universität der Bundeswehr München is a leading research institution in the field of air and space research. With the Munich Center for Space Communications, the University hosts Germany’s largest and most versatile experimental satellite ground station and Over-The-Air test facility for next-generation SATCOM technologies. As such, the university offers unparalleled working conditions for outstanding research in the exciting and rapidly growing market of satellite and space communications: https://www.unibw.de/satcom


The research center SPACE and the Munich Center for Space Communications have been awarded a grant issued by the German Government to perform a small satellite mission. Until 2026, the mission called SeRANIS (Seamless Radio Access networks for Internet of Space; https://seranis.de ) will demonstrate various radio communication technologies on a small satellite platform. The communication technologies include advanced beamforming and precoding for 6G networks, robust and resilient IoT and LPWAN technologies as well as optical / laser communications and artificial intelligence methods.


We are currently looking for 2 highly motivated PhD students / doctoral candidates or senior researcher who are keen to be part of our research team:


our Research

As a PhD candidate in the field of satellite communications, you will contribute to cutting-edge research in one or more of the following areas:

Advanced signal processing algorithms and innovative network architectures for modern communication systems.
Machine learning, deep learning, and Artificial Intelligence techniques applied to wireless and satellite communication links.
Satellite-based beyond-5G/6G communication networks, including non-terrestrial network (NTN) integration.
Massive machine-type communications (mMTC) and emerging concepts for the Internet of Space.


Your Role

In the context of your doctoral research, you will be responsible for:

Developing novel algorithms, architectures, or analytical methods to address key open research challenges in next-generation satellite communication systems.
Publishing your research results in high-impact journals and presenting them at leading international conferences.
Contributing to ongoing research projects, including the preparation of technical project deliverables and reports.
Supporting the supervision and mentoring of Master’s students, especially in topics aligned with your research.


Your Profile

You are an excellent candidate and motivated to pursue a PhD if you bring:

A Master’s degree in Telecommunication Engineering, Electrical Engineering, Computer Science/Engineering, or a closely related field, ideally with a focus on wireless or satellite communications.
Strong programming skills, preferably in MATLAB; experience with Python or C++ is an additional advantage.
A solid foundation in optimization methods, machine learning, and/or relevant algorithmic tools.
Excellent English communication skills, both written and spoken.
A high level of commitment, strong teamwork abilities, and well-developed critical thinking and problem-solving skills.


For all PhD candidates we offer cutting-edge research opportunities, a highly motivated multi-cultural team with great team spirit and cohesion, a full-time position (at least 58,000.00 € p. a.), and a welcoming work environment.


If you are a space enthusiast we strongly invite you to submit your application to jobs.sp@unibw.de. Your application should include your CV, a university transcripts of records, and your personal letter of intent. According to federal regulations, severely disabled applicants with equal qualification and aptitude are given preferential consideration.


Contact: Univ.-Prof. Dr.-Ing. Andreas Knopp, MBA
Director Munich Center for Space Communications
Universität der Bundeswehr München
Werner-Heisenberg-Weg 39, 85577 Neubiberg (Germany)
Mail: jobs.sp@unibw.de
Web: https://www.unibw.de/satcom/


KEYWORDS: 5G, 6G. NTN, 3GPP, AI, ML, SATCOM, Satellite, Wireless, Connectivity, IoT