Autosøk

PhD Fellowship in AI-native Networks

TIK, Section for medical information and communication technology, Oslo University Hospital HF

Sognsvannsveien 20, 0372 Oslo

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Stillingsbeskrivelse

PhD Fellowship in AI-native Networks

Section for Medical Information and Communication Technology (Medical ICT Research), The Intervention Centre 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 Oslo.

About the Project

The fellowship is part of the SYNAPSE (SYnergetic Network-AI Platform for Semantic Efficiency) project. 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.

Responsibilities

  • Conduct research in AI-native networking and semantic hypergraph intelligence for healthcare applications.
  • Design and implement graph neural network models and multi-agent reinforcement learning frameworks for cross-layer network orchestration.
  • Validate research outcomes under realistic network conditions including mobility, congestion, and heterogeneous workloads.
  • Contribute to scientific publications in top-tier venues and collaborative research activities.

Krav

  • MSc degree in Computer Science, Electrical Engineering, or a related field with strong academic performance.
  • Solid Python programming skills and experience with Machine Learning or Deep Learning frameworks like PyTorch or TensorFlow.
  • Knowledge of at least one of the following: Graph Neural Networks, Reinforcement Learning, Federated Learning, or Network Optimization.
  • Ability to work independently and collaboratively with a structured and precise working style.
  • Documented English proficiency for applicants not proficient in a Scandinavian language.

Ferdigheter

Machine LearningDeep LearningPythonGraph Neural Networks (GNN)Reinforcement LearningFederated LearningNetwork OptimizationSemantic Communication

Lønn

NOK 550,800–587,000/year

Erfaring

junior

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