Job Description
TU Delft has a PhD position in agentic AI for 6G networks. Future 6G networks will run many AI agents that manage radio, transport, computing and services. You will develop learning methods that help these agents work together when their goals clash. The PhD is part of the Dutch Future Network Services (FNS) flagship project.
At a glance
- Position: PhD candidate, 4 years
- Where: Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), TU Delft, Netherlands
- Pay: €3,204 to €4,051 gross a month (year 1 to year 4), plus 8% holiday allowance and an 8.3% year-end bonus
- Contact: Dr. Georgios Iosifidis
- Review: Applications are assessed as they arrive
- Apply: 1 November 2026
What the agentic AI 6G PhD works on
- Learning methods to coordinate many AI agents under changing network conditions, missing information and operating limits
- Constrained and optimistic online learning, distributed learning and online game-theoretic methods
- Application 1: resource management across network domains for AI-enabled services
- Application 2: resilient network operation, including fault diagnosis, root-cause analysis and automatic repair
- Testing on FNS use cases, network data and experimental infrastructure with industry partners
Why this role matters
Each AI agent in a 6G network may tune its own part well and still hurt the whole system. Making agents from different vendors cooperate is an open research problem. The FNS project brings about 60 Dutch ICT companies, chip firms and research groups together, so your methods can reach real 6G test beds and demos.
What TU Delft is looking for
- An MSc in a relevant computer science discipline, or close to finishing one
- Interest in combining theory with practice
- Good English, written and spoken
- TU Delft’s PhD admission requirements; selection uses your academic record, interviews and possibly assignments
Pay and location
Pay follows the Collective Labour Agreement for Dutch Universities: €3,204 gross a month in the first year, rising to €4,051 in the fourth, for a full-time 38-hour week. There is an 8% holiday allowance and an 8.3% year-end bonus. The four years come as a 1.5-year contract with a go/no-go review within 15 months, then a 2.5-year contract. TU Delft runs a knowledge-security risk assessment in the final stage of selection. You also get training in 5G and beyond networks, AI and software development, and access to a 6G test bed.
How to apply
Apply through the official TU Delft page. The closing date is 1 November 2026. Apply online with a CV, a motivation letter and copies of your BSc and MSc degrees and transcripts. Address it to Dr. Georgios Iosifidis. Applications are evaluated as they come in, so apply early. Email and post applications are not processed.
See all our PhD positions, or browse more research jobs on ResearchJobs.in.
Hiring institution: Delft University of Technology
Official advertisement: careers.tudelft.nl
How to prepare for this application
- Apply early: the ad says applications are reviewed as they arrive
- Revise online learning and regret bounds, and the basics of game theory and multi-agent learning
- Learn how 5G and 6G networks slice radio, transport and compute resources
- In your letter, link one past project to either resource management or network fault diagnosis
- Check TU Delft's Graduate School English requirements before you apply
About TU Delft
Delft University of Technology is the oldest and largest technical university in the Netherlands. Its Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) works on chips, sensors, networks and AI.