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.
Your tasks
- Test state-of-the-art tensor network machine learning algorithms to improve the decoding of quantum error correction codes.
- Develop new ML frameworks for tensor networks.
- Devise new (clean and reproducible) training models.
- Develop generalization strategies across codes and physical error rates.
Your profile
- Interest in real-world machine learning applications.
- Ability to work independently and as part of a team.
- Advanced programming skills : Python and Pytorch or similar.
- Hands-on experience in machine learning and deep learning.
- Evidence of completed projects, e.g. university coursework, internship, etc.
- Quantum theory and tensor network knowledge desirable.
- Good English knowledge
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 5072) please contact:
Luca Menti
Tel.: +49 (0)8153 28 2052
