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# Master Thesis on Mesh Networking for Drone Swarms - Anwendungsentwicklung, Forschung, Ingenieur

- **Company:** Deutsches Zentrum für Luft- und Raumfahrt e. V.
- **Location:** Weßling, Germany
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Programming, Machine Learning, Mesh Networking, Network Protocols, Signal Processing, Reinforcement Learning
- **Published:** October 22, 2026
- **Apply:** https://www.adzuna.de/details/5935230233

## About the Role

Consider the use of machine learning/reinforcement learning solutions to design semantic networking protocols for drone swarms that communicate using DECT NR+ ## Your profile - Good knowledge of communication systems and signal processing, with particular emphasis on PHY and MAC level protocols.

 - Knowledge of ML/RL algorithms
 - Programming skills (C/C++) and willingness to learn new tools
 - Previous experience with event-driven network simulations is a plus
 - Ability to work independently and interest in interdisciplinary topics

## Description

solutions. Specifically, the use of DECT NR, world's first non-cellular radio standard to be formally approved as part of the 5G standards by the ITU, will be investigated. The solution enables decentralized protocols in license-exempt spectrum, and can be a fundamental enabler for advanced drone communications. ## Your tasks - Familiarize with the physical and MAC layer of the DECT-NR+ standard

 - Study the application of the solution to drone communications, considering traffic requirements as well as constraints in terms of topology and channel impairments
 - Evaluate by means of simulations, the protocol operations and evaluate its suitability for mesh networking in drone swarms for selected applications.