The DLR Institute of Communications and Navigation is dedicated to mission-oriented research in selected areas of communications and navigation. Its work ranges from the theoretical foundations to the demonstration of new procedures and systems in a real environment and is embedded in DLR's Space, Aeronautics, Transport, Security and Digitalization programmes. ## What to expect The Advanced Information Processing Group aims at applying state-of-the-art theoretical results into real-world applications within information processing systems. The expertise of the group ranges from quantum error correction to Smart Data Management, exploring cutting-edge communication theories such as semantic communication and Age of Information, pushing the boundaries of data utilization and dissemination. ## Your tasks In this thesis the candidate will design machine learning solutions for non-terrestrial communication systems. The main focus will be on the implementation of the receiver chain for a IoT - low Earth orbit (LEO) satellite scenario. The thesis aims to enhance the current receiver algorithms by integrating machine learning models into well-established signal processing solutions, particularly in challenging scenarios where conventional algorithms reach their performance limits. ## Your profile - Good knowledge of machine learning principles - Previous experience in implementing and testing ML algorithms - Good programming skills are beneficial - Background on satellite communications systems - Excellent acadmic records We look forward to getting to know you! If you have any questions about this position (Vacancy-ID 4775) please contact: Dr. Estefania Recayte Tel.: +49 (0)8153 - 28 2327