PhD Candidate - Department of Information Technology
|Workplace||Flemish Region, Ghent, Belgium|
PhD candidate ?url=https%3A%2F%2Fwww.ugent.be%2Fen%2Fwork%2Fscientific%2Fphd-student-50&module=jobs&id=2218279" target="_blank" rel="nofollow">https://www.ugent.be/en/work/scientific/phd-student-50 ?url=https%3A%2F%2Fwww.ugent.be%2Flogo%26h&module=jobs&id=2218279" target="_blank" rel="nofollow">https://www.ugent.be/logo&h p o i n t;png
Masters of Science degree, preferably from a European university, in Electronics Engineering, Communications Engineering, Computer Science, or equivalent.
Job descriptionPhD vacancy in deterministic low-latency wireless communication Job description IMEC imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer.
Ghent University - imec IDLab Research group
The Internet & Data Lab (IDLab - https://idlab.technology ) is an imec research group at Ghent University and the University of Antwerp. 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 more than 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. 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).
The IDLab wireless team consists of 30 researchers and has gained profound scientific expertise and knowledge on wireless networking with a prime focus on end-to-end solutions covering all layers in the end-to-end protocol stack and across heterogeneous wired/wireless networks. For further development of the IDLab wireless research team in Ghent, we are looking for a PhD candidate in the domain of deterministic low-latency wireless communication.
Context Time-Sensitive Networking can meet the demanding requirements of applications in industry automation, audio/video communication, mission-critical communication and other professional environments. But so far, its usage is restricted to wired networks only. 5G Ultra-Reliable Low Latency Communication strives to fill in this gap, but also Wi-Fi is an interesting candidate. In IDLab, we work on extending Wi-Fi with time-sensitve networking features, where we have already demonstrated microseconds time-synchronisation accuracy and milliseconds end-to-end latency. We design new strategies to perform real-time and fine-grained verification of the end-to-end network performance and create tighter interactions between the applications and the network. For this, we build on top of openwifi, the world’s first open-source Wi-Fi implementation that has been developed within the team.
As a PhD researcher, you will join the deterministic low-latency wireless communication team and participate in a variety of research projects on this topic. This ranges from the design of reliable and latency-bounded communication for real-time audio streaming applications in private professional environments to high-speed low-latency communication in mmWave Wi-Fi mesh networks.
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In your application, please refer to myScience.org and reference JobID 2218279.
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