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Job description QuTech, the research center of Delft University of Technology (TU Delft) is hiring for a Doctoral Candidate (PhD) position in partnership with the Questing Doctoral Network
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the Technical University of Munich (TUM), the network brings together ten universities with regulators, public agencies, international organisations and research networks. The doctoral projects investigate how
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Join TU Delft to help shape the future of wireless communication systems. Our research spans 6G, satellite communications, wireless sensing, and non-terrestrial networks (NTN), addressing
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. This project investigates how such patterns can be designed systematically to make communication timing difficult for an external observer to predict, while maintaining closed-loop stability and using network
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distributes and routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum
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routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum‑secure
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tomorrow's quantum optical networks, within the European QuNEST network. Information You will analyse and design advanced Forward Error Correction (FEC) codes for high-throughput optical communication systems
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that networks will adapt themselves with your needs without your intervention? Join us on this research project in close collaboration with several high-tech companies to develop and demonstrate the next
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing airline operations (e.g., fleet composition, scheduling, routing) based on new
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing