Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science

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 look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 3037) please contact:

Francisco Lazaro Blasco

Tel.: +49 8153 28 2815