About this role
<p>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.</p><p><strong>What to expect</strong></p> <p>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.</p> <p><strong>Your tasks</strong></p> <p>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. </p> <p><strong>Your profile</strong></p> <ul> <li>Good knowledge of machine learning principles</li> <li>Previous experience in implementing and testing ML algorithms</li> <li>Good programming skills are beneficial</li> <li>Background on satellite communications systems</li> <li>Excellent acadmic records</li> </ul><p><span id="cke_bm_7743S" style="display:none"> </span>We look forward to getting to know you!</p> <p> </p> <p>If you have any questions about this position (<strong>Vacancy-ID <strong>4775</strong></strong>) please contact:</p> <p> </p> <p><strong>Dr. Estefania Recayte</strong><br>Tel.: +49 (0)8153 - 28 2327</p>