Fully Funded PhD Fellowship: AI-Native Networks

Arbeidsplassen; Oslo; On-site; NOK 551,000 - 587,000; Full time

Benefits offered by this job

Fully funded PhD position

Norwegian state salary scale

HPC infrastructure access

Job summary

Oslo University Hospital offers a fully funded 3-year PhD Fellowship in the SYNAPSE project. The recruited PhD Fellow will join the Wireless Sensor Network Research Group and is enrolled in the PhD program at the University of Oslo.

Supervision by senior researchers and international collaboration are core elements. The project focuses on semantic hypergraph modeling, dynamic link control, and MARL orchestration to improve latency, reliability, and energy efficiency in healthcare networks.

Qualifications

• MSc degree in Computer Science, Electrical Engineering, or a related field (120 ECTS), including a thesis
• BSc degree (180 ECTS)
• Strong academic performance (minimum grade B; A preferred)
• Master’s thesis graded B or better (Norwegian system or equivalent)
• Strong background in: Machine Learning / Deep Learning, Graph Neural Networks, Reinforcement Learning, Federated Learning, or Network Optimization, with solid Python programming

Responsibilities

• Conduct research in AI-native networking for healthcare applications
• Design and implement graph neural network models and multi-agent reinforcement learning frameworks
• Validate outcomes under realistic network conditions including mobility, congestion, and heterogeneous workloads
• Contribute to scientific publications in top-tier venues (NeurIPS, IEEE Trans. Networking, ACM Internet Tech) and collaborative activities

Skills

Machine Learning / DL

Graph Neural Networks

Reinforcement Learning

Federated Learning

Python

Education

MSc in CS or EE (120 ECTS)

BSc (180 ECTS)

Tools

PyTorch

TensorFlow

Job description

Oslo University Hospital offers a fully funded 3-year PhD Fellowship in the SYNAPSE project. The recruited PhD Fellow will join the Wireless Sensor Network Research Group and is enrolled in the PhD program at the University of Oslo.

Supervision by senior researchers and international collaboration are core elements. The project focuses on semantic hypergraph modeling, dynamic link control, and MARL orchestration to improve latency, reliability, and energy efficiency in healthcare networks.