PhD Fellowship in AI-native Networks, Oslo University Hospital, Norway

Summary

Oslo University Hospital (OUS), Section for Medical Information and Communication Technology (The Intervention Centre), is offering a full-time, 3-year PhD Fellowship as part of the SYNAPSE (SYnergetic Network-AI Platform for Semantic Efficiency) project funded by the Research Council of Norway. The successful candidate will be enrolled in the PhD program at the University of Oslo (UiO) and will work on cutting-edge research at the intersection of artificial intelligence, Graph Neural Networks (GNNs), multi-agent reinforcement learning (MARL), and next-generation networks for healthcare applications.

Designation

• PhD Fellow / Doctoral Researcher (Full-time, 100% position)

Key Information Table

Research Area

• Field: AI-native Networks, Semantic Hypergraph Intelligence, Distributed Machine Learning, and Wireless Health Networks.
• Core Topics:
  • Semantic Hypergraph Modeling and dynamic link control.
  • Temporal Graph Neural Networks (GNNs) for priority-aware network embeddings.
  • Cross-layer Multi-Agent Reinforcement Learning (MARL) for network orchestration.
  • Mission-critical healthcare and remote patient monitoring systems.

Location

• Address: Sognsvannsveien 20, 0372 Oslo, Norway

Eligibility / Qualification

Required Qualifications:

• Academic Degrees: Master of Science (120 ECTS) in Computer Science, Electrical Engineering, or a closely related field, including a thesis, plus a relevant BSc degree (180 ECTS).
• Grade Requirements: Strong academic standing with a minimum grade of B (A preferred) overall and B or better on the Master’s thesis (Norwegian grading scale or equivalent).
• Technical Skills:
  • Strong background in Machine Learning / Deep Learning frameworks (PyTorch or TensorFlow).
  • Expertise in at least one area: Graph Neural Networks, Reinforcement Learning, Federated Learning, or Network Optimization.
  • Proficient in Python programming.
• Language Requirements (if not fluent in a Scandinavian language):
  • TOEFL: $\ge 600$ (paper-based) or $\ge 92$ (internet-based)
  • IELTS (Academic): $\ge 6.5$ (no subscore below 5.5)
  • Cambridge CAE/CPE: Grade A or B

Preferred Qualifications:

• Knowledge of semantic communications, software-defined networking, or network simulations.
• Familiarity with hypergraph or higher-order network models.
• Experience with High-Performance Computing (HPC) environments.
• Prior scientific publications in relevant peer-reviewed venues.

Scholarship / Position Benefits

• Fully Funded Position: 3-year contract with competitive salary (approx. NOK 550,800–587,000/year).
• Research Infrastructure: Access to high-performance computing clusters at OUS and national Norwegian e-infrastructure.
• Collaboration: International exposure and collaboration with partners, including Ruhr University Bochum, Germany.
• Welfare Benefits: Full Norwegian public sector benefits, including pension, comprehensive healthcare/insurance schemes, and a family-friendly working environment in Oslo.

How to Apply

Applications must be submitted electronically through the Webcruiter portal:

1. Visit the official portal application link: Webcruiter Application Link.
2. Upload your CV, cover letter, master’s thesis, certified copies of academic transcripts/degrees, proof of English language proficiency, and relevant publications or letters of recommendation.

Contact Information:

• Project Leader / PI: Dr. Roufaida Laidi – roufaida.laidi@ous-hf.no
• Head of Section / Professor: Prof. Ilangko Balasingham – ilangko.balasingham@ous-research.no

Last Date for Apply

• September 13, 2026

Link