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.</p> <p><strong>Your tasks</strong></p> <ul> <li>Test state-of-the-art tensor network machine learning algorithms to improve the decoding of quantum error correction codes.</li> <li>Develop new ML frameworks for tensor networks.</li> <li>Devise new (clean and reproducible) training models.</li> <li>Develop generalization strategies across codes and physical error rates.</li> </ul> <p><strong>Your profile</strong></p> <ul> <li>Interest in real-world machine learning applications.</li> <li>Ability to work independently and as part of a team.</li> <li>Advanced programming skills : Python and Pytorch or similar.</li> <li>Hands-on experience in machine learning and deep learning.</li> <li>Evidence of completed projects, e.g. university coursework, internship, etc. </li> <li>Quantum theory and tensor network knowledge desirable.</li> <li>Good English knowledge</li> </ul><p><span id="cke_bm_7743S" style="display:none"> </span>We look forward to getting to know you!</p> <p>If you have any questions about this position (<strong>Vacancy-ID <strong>5072</strong></strong>) please contact:</p> <p><strong><strong><strong>Luca Menti</strong></strong></strong><br>Tel.: +49 (0)8153 28 2052 </p>