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PhD Fellowship in AI-native Networks @ Oslo universitetssykehus HF

OsloOnsiteFull-time
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About this role

About the research groupSection for Medical Information and Communication Technology (Medical ICT Research), The Intervention Centre (see: http://www.ivs.no), at Oslo University Hospital offers a full-time PhD Fellowship. The recruited PhD Fellow will be part of the Wireless Sensor Network Research Group of Professor Ilangko Balasingham and will be enrolled in the PhD program at the University of OsloOslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply!The fellowship is part of the SYNAPSE (SYnergetic Network-AI Platform for Semantic Efficiency) project, funded by the Research Council of Norway (12 MNOK). SYNAPSE addresses a critical gap in next-generation networks: the disconnect between distributed AI processes and network infrastructure. The project develops an AI-native ecosystem where communication and computation co-evolve through cross-layer awareness, integrating semantic hypergraph intelligence, urgency-weighted federated learning, and multi-agent reinforcement learning for mission-critical healthcare applications. The framework is validated through remote patient monitoring scenarios, targeting substantial improvements in latency, reliability, and energy efficiency. For more information, visit the SYNAPSE project page at: https://www.linkedin.com/company/synapse-ousSupervision by Dr. Roufaida Laidi (PI), Prof. Ilangko Balasingham, and Dr. Hemin QadirInternational collaboration network, including partners at Ruhr University Bochum, Germany. Contact Information Project leader/PI: Dr. Roufaida Laidi – [email protected]. Ilangko Balasingham – i.s.balasingham@ous-research Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply!

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