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one fully funded PhD position in the area of Integrated Sensing and Communications for 6G. The successful candidate will contribute to ongoing activities of theWireless Networking Group , by advancing
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from MMC and Dr. Eric Smeitink from KPN and the Network Architectures and Services Group. The PhD position is part of NExTWORKx, the strategic partnership between the telecom and ICT service provider KPN
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Jaguar Land Rover, this research proposes the Ring Probabilistic Logic Neural Network (RPLNN). Unlike opaque deep learning models, the RPLNN fuses neural computation with probabilistic logic rules within a
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the faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. You have strong interest in communication networks, distributed systems, or cloud
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) Overview 6G networks are expected to enable ultra-low latency communication and support massive Internet-of-Things (IoT) deployments through technologies such as network slicing. At the same time, the
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates) Overview 6G networks are expected to enable ultra-low latency communication and
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, allowing surgeons to operate on patients from different locations. However, communication delay remains a major safety challenge. Even small or unexpected delays can affect robot responsiveness and
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constraints. Physics‑Informed Neural Networks (PINNs) embed PDE residuals and boundary conditions directly into training, while operator‑learning approaches provide mesh‑agnostic mappings from inputs to flow
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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial