We seek a PhD Research Fellow for a 3-year position in the SYNAPSE project. The successful candidate will have a solid background in computer networking and an interest in developing machine-learning methods for network control and network-aware distributed learning.

Section for Medical Information and Communication Technology (Medical ICT Research), The Intervention Centre (see: http://www.ivs.no), 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

We seek candidates with a solid background in computer networking who want to develop machine-learning methods for network control and network-aware distributed learning.

Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply!

Kvalifikasjoner:

Required 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).

Personlige egenskaper:

Preferred qualifications

• 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.

Language Requirements
Applicants who are not proficient in a Scandinavian language must document English proficiency through one of the following: TOEFL: at least 600 (paper-based) or 92 (internet-based); IELTS Academic: at least 6.5, with no section below 5.5; Cambridge CAE/CPE: grade A or B.

Personal Qualities

• Ability to work independently and collaboratively.
• A structured, precise and adaptable working style.
• Strong communication and teamwork skills.
• A positive attitude and ability to manage a dynamic work environment.
• A high level of professionalism and work ethic.

We offer

• A fully funded, full-time three-year PhD position. Salary according to the Norwegian state salary scale (approximately NOK 550,800–587,000 per year).
• Supervision by Dr Roufaida Laidi (PI), Prof. Ilangko Balasingham and Dr Hemin Ali Qadir, in collaboration with Prof. Tarik Taleb (Ruhr University Bochum).
• A clinical research environment at The Intervention Centre, Oslo University Hospital.
• Access to high-performance computing infrastructure at OUS and national e-infrastructure services.
• An inclusive, interdisciplinary research environment at the Intervention Centre, OUS.
• Pension, insurance and welfare schemes through the Norwegian public sector.
• Family-friendly surroundings with cultural and outdoor opportunities in Oslo.

Vi tilbyr:

Your application

• Submit a cover letter of at most one page explaining your interest in SYNAPSE and your fit with the position.

Identify:

• Your computer-networking background, naming relevant coursework, a thesis, substantial projects or publications and explaining your own contribution.
• Your experience implementing machine-learning methods and using network simulation, emulation or testbeds.
• The research area or areas above that best match your background and interests.

Supporting documents

• A CV.
• Transcripts for your bachelor’s and master’s degrees, with the grading scale or diploma supplement.
• Copies of your diplomas.
• Documented English proficiency.
• Names and contact details of two referees, at least one academic. Referees must not be family members.
• Documents not in English or a Scandinavian language must be accompanied by a certified translation. Applications without transcripts and diplomas will not be assessed.

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