Technology and Innovation Clinic (TIK), The Intervention Centre (see: http://www.ivs.no), Section for Medical Information and Communication Technology at Oslo University Hospital offers a full-time PhD Fellowship. The recruited PhD Fellow will be part of theWireless Sensor Network Research Group of Professor Ilangko Balasingham and will be enrolled in the PhD program at the University of Oslo.

About the Position
The fellowship is part of the research project “Semantic-Aware Wireless Body Sensor-Actuator Networks (SCOPE),” funded by the Research Council of Norway with 12 MNOK award.

This project is conducted by a supervisory team from the Intervention centre (IVS), Oslo University Hospital (Rikshospitalet), and collaborating research groups in the Denmark and the UK.

The SCOPE project explores semantic communication for next-generation wireless sensor-actuator networks, focusing on transmitting and acting on the most meaningful information rather than raw data. The research will develop a semantic feature-based control framework to improve efficiency, reliability, and real-time responsiveness in wireless body sensor-actuator networks (used in digital healthcare applications).

About the PhD project
The PhD project explores the development and implementation of a semantic wireless body sensor–actuator network exploiting deep learning networks. This would include:

Developing a semantic-aware framework for dynamic allocation of energy, bandwidth, and computational resources in wireless body sensor–actuator networks.
Designing and investigating a semantic control mechanism for closed-loop wireless body sensor–actuator networks.
Designing and evaluating architectural and signal-processing strategies to enable communication between sensors, server, and actuators within a semantic communication framework.

Contact Information

Main supervisor: Dr. Mohammad Zoofaghari mohzoo@ous-hf.no Intervention centre, Oslo University Hospital
Co-supervisors: Prof. Ilangko Balasingham i.s.balasingham@ous-research.no & Dr. Mladen Veletić mlavel@ous-hf.no Intervention centre, Oslo University Hospital

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!

Arbeidsoppgaver

Responsibilities

The PhD candidate will:

Conduct research in deep learning for the semantic communication
Design models for resource allocation for semantic wireless sensor-actuator network.
Develop semantic control model for a closed loop sensor-actuator system
Contribute to scientific publications and collaborative research activities

Kvalifikasjoner (overskrift)

Qualifications

Required Qualifications:
MSc degree in Computer Science, Electrical Engineering, Biomedical 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:

Programming skills in Python and/or MATLAB
Machine Learning / Deep Learning
Knowledge of optimization methods, control theory, and signal processing is highly desirable.
Experience with wireless communication systems, sensor networks, or biomedical data analysis will be considered an advantage.
Publication record is an advantage.

Perferred Qualifications:

Language Requirements:
Applicants who are not proficient in a Scandinavian language must document English proficiency through one of the following:

TOEFL: ≥ 600 (paper-based) or ≥ 92 (internet-based)
IELTS (Academic): ≥ 6.5 (no section below 5.5)
Cambridge CAE/CPE: Grade A or B

Personal Qualities:

Ability to work independently and collaboratively
Structured, precise, and adaptable working style
Strong communication and teamwork skills
Positive attitude and ability to manage a dynamic work environment
High level of professionalism and work ethic

Oslo University Hospital values diversity and inclusion. We believe diversity strengthens our ability to solve complex challenges, and we encourage all qualified candidates to apply regardless of background.

We Offer

A stimulating and internationally oriented research environment
A collaborative and inclusive workplace
Membership in the Norwegian Public Service Pension Fund
Family-friendly surroundings with excellent cultural and outdoor opportunities in Oslo
Employee benefits (e.g., professional development programs)

Salary

NOK 550,800 – 595,000 per year (depending on qualifications)
2% pension contribution deducted
Salary stated before tax

Kontaktinformasjon

Mohammad Zoofaghari, Co-PI/main supervisor, mohammad.zoofaghari@ous-hf.no
Ilangko Balasingham, Section leader/professor/project leader, ilangko.balasingham@ous-research.no

Arbeidssted

Sognsvannsveien 20
0372 Oslo

Nøkkelinformasjon:

Arbeidsgiver: Oslo universitetssykehus HF

Referansenr.: 5111798015
Stillingsprosent: 100%
Fast
Søknadsfrist: 03.05.2026

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