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
- Design a distributed representation learning framework for RF signals under strict communication constraints, with a clear separation between lightweight edge processing and powerful centralized inference.
- Define computationally efficient models, such as compressed autoencoders or shallow neural networks, at edge devices to extract low-dimensional, task-relevant embeddings from raw RF observations.
- Simulate transmission of these compact representations over constrained links to a fusion center, where deeper and more expressive models perform joint inference, classification, or decision-making.
Your profile
- Deep understanding of PHY layer design and signal processing
- Advanced programming skills
- Background on satellite communications systems
- Excellent academic records
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 4861) please contact:
Dr. Andrea Munari
Tel.: +49 (0) 8153 28 3639
