PhD Position in Agentic AI for Resource Management and Resilient Operations in 6G

This PhD position at Delft University of Technology (TU Delft) focuses on advancing AI-driven resource management and resilient operations in 6G networks. The project, part of the Future Network Services (FNS) flagship initiative, involves designing learning algorithms for multi-agent systems to coordinate radio, transport, computing, and service resources under dynamic conditions. The research integrates constrained online learning, distributed learning, and game-theoretic methods, with applications in multi-domain resource management and fault diagnosis. The successful candidate will collaborate with industrial partners to validate methods in real-world 6G use cases and experimental infrastructure, contributing to both academic innovation and practical deployment.

• Develop learning methods for coordinating multi-agent systems in dynamic network environments with incomplete information and operational constraints.
• Design and implement algorithms for multi-domain resource management and resilient network operations, including fault diagnosis and autonomous remediation.
• Collaborate with industrial partners to validate research findings in real-world 6G use cases and experimental infrastructure.
• Conduct experiments using state-of-the-art testbeds to bridge theoretical models with practical applications.
• Publish research findings in top-tier academic conferences and journals, and contribute to the development of 6G PoCs and demos.
• Participate in interdisciplinary team meetings, knowledge-sharing sessions, and entrepreneurial initiatives within the FNS consortium.
• Engage in doctoral education courses and skill development programs offered by TU Delft Graduate School.