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# Agentic AI for Resource Management and Resilient Operations in 6G

- **Company:** TU Delft
- **Location:** Delft, Netherlands
- **Salary:** €3,204.0 - €4,051.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Networks, Machine Learning, Network Service, Elearning, Computer Gaming, Computer Networking Systems, Agentic-AI, Distributed Learning
- **Published:** October 26, 2026
- **Apply:** https://www.careerjet.nl/job/nl83d6491a0bdf5bfafbb89259f49b040f/eaa

## About the Role

* a Master-of-Science (or similar) degree in a relevant computer science, electrical engineering or applied mathematics discipline
 * who like to combine theory with practice
 * are proficient in English, this is essential, as you'll collaborate within a diverse, international community.

## Description

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.
Future 6G infrastructures will involve multiple specialized AI agents that manage radio, transport, computing, and service resources across different domains and vendors. Although individual agents may optimize local objectives, their actions can interact, conflict, or compete for shared resources. This PhD will develop learning methods for coordinating such agentic systems under changing network conditions, incomplete information, and operational constraints. The research will build on constrained and optimistic online learning, distributed learning, and online game-theoretic methods. The developed framework will be studied in two main application areas: multi-domain resource management for AI-enabled services, and resilient network operation, including fault diagnosis, root-cause analysis, and autonomous remediation. The methods will be validated through FNS use-cases, network data, and experimental infrastructure in collaboration with industrial partners.
You'll be joining an internationally diverse and thriving team, providing ample opportunities for riveting sparring and knowledge sharing. Fostering a highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate with various partners in pursuit of integrating your AI/ML techniques into the various 6G PoCs and demos.
Here, you can watch a short introduction to one of the labs within the Networked Systems section participating in the Future Network Services flagship project, check an overview of the current TU Delft vacancies within the .