The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, where you will work, the overall IDLab research areas are machine learning and wireless networking. IDLab has a unique research infrastructure used in numerous national and international collaborations.
IDLab collaborates with many universities and research centers worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SME’s, as well as numerous ambitious startups).
For further development of the IDLab wireless cluster, we are looking for a PhD applicant in the domain of Device Free Localization and self-calibrating wireless sensor networks (WSNs).
Successful applicant is required to carry the following responsibilities:
- Work in the team of prof. Maarten Weyn, who focuses on ultra-low power sensor communication and embedded systems, Sub-1 GHz communication, sensor processing, and localization
- Prepare a PhD dissertation on Device Free Localization (DFL), see https://doi.org/10.3390/s19235329, and self-calibration of wireless sensor networks. You will be supervised by Prof. Maarten Weyn and Dr. Rafael Berkvens
- Publish and present results both at international Conferences and in scientific journals
- Interface and collaborate on a technical level with research partners from industry and academia
- Participate in the framework of European and national research projects (in collaboration with industry)
- Assist in limited educational tasks of the research group
To be eligible for PhD Scholarship in Device Free Localization, applicants must:
- Have (or will receive within a few months) a Masters of Science degree, preferably in Electronics Engineering, Communications Engineering, Computer Science, or equivalent.
- Have a keen interest in wireless communication, wireless sensor networks, and machine learning.
- Have experience in writing software and prototyping.
- Having published in high-ranking Conferences and journals in the field is an advantage
- Are well-organized and able to autonomously plan and execute tasks
- Are a team player and have strong communication skills
- Excellent proficiency in English (both speaking and writing)