PhD Fellowship in Semantic Information and Communication Methods for Wireless Sensors with Control
TIK Section for Medical Information and Communication Technology, Oslo University Hospital HF
Sognsvannsveien 20, 0372 Oslo
Om jobben
- Stillingstittel
- PhD Fellowship in Semantic Information and Communication Methods for Wireless Sensors with Control
- Type ansettelse
- Fast, heltid 100%
- Arbeidsspråk
- Engelsk eller skandinavisk
- Antall stillinger
- 1
Søk på jobben
Søk senest søndag 3. mai
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
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)
QualificationsRequired 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)
- 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.noIlangko Balasingham, Section leader/professor/project leader, ilangko.balasingham@ous-research.no
Arbeidssted
Sognsvannsveien 200372 Oslo
Nøkkelinformasjon:
Arbeidsgiver: Oslo universitetssykehus HFReferansenr.: 5111798015
Stillingsprosent: 100%
Fast
Søknadsfrist: 03.05.2026
Kontaktpersoner for stillingen
Om bedriften
Sammen med pasienten utvikler vi morgendagens behandling
Oslo universitetssykehus med våre 25 000 medarbeidere skal være en lærende og skapende organisasjon med evne til å tenke nytt. Vi skal ha en ledende rolle i utvikling av forskning og innovasjon, samt utvikling av morgendagens helsetjeneste, medisinsk behandling og presisjonsmedisin. Hos oss finner du noen av landets ledende eksperter innen sine fagfelt, og her blir du en del av Norges største helsefaglige arbeidsplass. Et inkluderende arbeidsmiljø preget av åpenhet og respekt er svært viktig for oss. Uansett hva du jobber med vil du få muligheten til å utvikle deg og benytte din kompetanse på et sted hvor det virkelig teller.
Sektor
Offentlig
Del annonsen
Annonsedata
Rapporter annonse- Stillingsnummer
77c665a8-85cc-4339-bdda-a6622cfca1e1
- Sist endret
13. april 2026
- Hentet fra
talentech
- Referanse
a8b430bb1b724d75b21053a6f5d5b9cb