PhD Fellow: AI-Native Networking for Healthcare

Oslo University Hospital; Oslo fylke; On-site; NOK 551,000 - 587,000; Full time

Benefits offered by this job

Fully funded PhD program

Competitive salary (NOK 550,800–587,00

Pension and welfare schemes

Access to HPC and national e-infra

Clinical research environment at The I

Job summary

Oslo University Hospital invites applications for a fully funded, three-year PhD Research Fellow in AI Native Networking for Healthcare. The successful candidate will develop machine-learning methods to optimize network control and distributed learning within healthcare networks, under the SYNAPSE project.

The role is housed in the Medical ICT Research Section of the Intervention Centre and involves collaboration with UiO and international partners.

Qualifications

• A master’s degree (120 ECTS), including a thesis, in computer science, network or communication engineering, electrical engineering or equivalent.
• A relevant bachelor’s degree (180 ECTS), with a total of five years of higher education.
• A solid foundation in computer networking, demonstrated through relevant coursework and a substantial project, thesis or research experience involving network protocols, wireless or mobile networks, routing or network performance.
• Coursework or project experience in machine learning, and good programming skills in Python.
• A weighted average grade of B or better on the master’s degree, as required by the University of Oslo.
• A master’s thesis graded B or better (Norwegian grading scale or equivalent).
• Experience with reinforcement learning or graph neural networks.
• Experience with network simulation or emulation tools, such as ns-3, OMNeT++ or Mininet.
• Publications or a master’s thesis combining networking and machine learning.

Responsibilities

• Develop and evaluate learning-based methods for urgency-aware network control and network-aware distributed learning.
• Implement and test the methods using network simulation or emulation and real monitoring data.
• Publish in leading networking and machine-learning venues and complete a PhD at the University of Oslo, Faculty of Medicine.

Skills

Machine learning

Computer networking

Python programming

Education

Master’s degree (120 ECTS) in computer science, network or communication engineering, electrical engineering or equivalent

Bachelor’s degree (180 ECTS) with five years of higher education

Tools

ns-3

OMNeT++

Mininet

Job description

Oslo University Hospital invites applications for a fully funded, three-year PhD Research Fellow in AI Native Networking for Healthcare. The successful candidate will develop machine-learning methods to optimize network control and distributed learning within healthcare networks, under the SYNAPSE project.

The role is housed in the Medical ICT Research Section of the Intervention Centre and involves collaboration with UiO and international partners.