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Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science
Job Description
Req ID:  3037
Place of work:  Oberpfaffenhofen
Starting date:  15.01.2025
Career level:  Student employment
Type of employment:  Part time, Full-time
Duration of contract:  2 months

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 11,000 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 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

Investigate, by means of simulation, the design and optimization of medium access strategies to efficiently support federated learning for Internet of things applications. The possibility for clients to have heterogeneous or time-varying data-sets will be considered, studying the relevance of concepts related to information freshness and value towards prioritization of uplink transmissions for model updates.

 

Your profile

  • Good knowledge of federated learning principles
  • Previous experience in implementing and testing ML/FL algorithms
  • Good programming skills are beneficial
  • General knowledge of information freshness related concepts

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 3037) please contact:

Francisco Lazaro Blasco 
Tel.: L-WAHL: +49 8153 28 2815 
Apply now