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Master Thesis in Asynchronous Random Access Systems based on Spread Spectrum
Job Description
Req ID:  5610
Place of work:  Oberpfaffenhofen
Starting date:  01.10.2026
Career level:  Student research project and final thesis
Type of employment:  Full-time, Part time
Duration of contract:  6 month

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

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 Information Transmission Group was established within the Satellite Networks Department of the Institute of Communications and Navigation to investigate techniques for reliable and secure transmission, processing and storage of information. Grounded on a firm theoretical background, we target the development of algorithms for satellite and (more generally) for wireless communication systems, with emphasis on forward error correction schemes, physical layer techniques and (massive) multiple access. Specific application areas of interest are currently satellite/cellular IoT systems, high-throughput wireless links (including free-space optical communications), as well as high-mobility channels and reliable processing and storage of information.

Your tasks

This master thesis focuses on modeling multiuser detection as a signal separation problem prior to the channel decoder in asynchronous random access systems based on spread spectrum techniques. Starting from an optimal MMSE (Minimum Mean Square Error) receiver to establish the performance benchmark, the objective of the work is to develop an Approximate Message Passing framework. The goal is to significantly reduce the receiver's computational complexity while preserving near-optimal performance. The tasks involve mathematical modeling, algorithmic design leveraging graph theory and iterative decoding concepts (e.g., Belief Propagation), and the simulation-based evaluation of the performance-complexity trade-offs.

Your profile

  • Solid background in digital communications, information, and coding theory.
  • Advance programming skills.
  • Excellent academic records.  

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 5610) please contact:

 

Federico Clazzer
Tel.: +49 (0) 8153 28 1120