PhD Fellowship in Semantic Information and Communication Methods for Wireless Sensors with Control
Oslo universitetssykehus Se alle jobber
- Oslo
- kr 550.800-595.000 pr år
- Fast
- Fulltid
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.
- 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
- 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
- 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)
- 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.
- TOEFL: ≥ 600 (paper-based) or ≥ 92 (internet-based)
- IELTS (Academic): ≥ 6.5 (no section below 5.5)
- Cambridge CAE/CPE: Grade A or B
- 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
- 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