Oslo University Hospital
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Fully Funded PhD Fellowship in AI-Native Networking and Healthcare AI Oslo University Hospital in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded salaried 3-year PhD Fellow position in Norway with standard employee benefits and competitive salary.
Country
Norway
University
Oslo University Hospital

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About this position
Fully funded PhD Fellowship in AI-native networking at Oslo University Hospital, within The Intervention Centre and the Section for Medical ICT Research in Oslo, Norway.
The project, SYNAPSE, sits at the intersection of computer science, electrical engineering, machine learning, graph neural networks, wireless networks, and healthcare AI. The work aims to build semantic, urgency-aware representations so that communication networks can prioritize critical clinical events in real time, such as cardiac-arrest alerts over routine monitoring data.
The PhD fellow will lead a core work package on shared, learnable representations for real-time AI–network co-adaptation, combining spatio-temporal GNNs, hypergraph learning, and dynamic link control. The models will be validated on real-world remote patient monitoring data, with direct clinical relevance.
Eligibility highlights include an MSc in Computer Science, Machine Learning, Telecommunications, or a related field, strong Python/PyTorch programming skills, and interest in GNNs, reinforcement learning, wireless networks, or healthcare AI.
This is a salaried 3-year PhD Fellow position with standard employee benefits and competitive salary in Norway. The post mentions co-supervision by Ilangko Balasingham, Hemin Qadir, and international collaboration with Tarik Taleb (Ruhr University Bochum).
Location: Oslo, Norway. Flexible start date. Apply via the linked Webcruiter portal.
Funding details
Fully funded salaried 3-year PhD Fellow position in Norway with standard employee benefits and competitive salary.
What's required
Applicants should have an MSc in Computer Science, Machine Learning, Telecommunications, or a related field. Strong programming skills in Python and PyTorch are required. Interest in GNNs, wireless networks, reinforcement learning, or healthcare AI is preferred.
How to apply
Apply through the Webcruiter application portal linked in the post. For questions, contact the poster via LinkedIn direct message.
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