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.
University of Antwerp – imec IDLab Research group
The IDLab research group of imec and the University of Antwerp performs fundamental and applied research on internet technologies and data science. The overall IDLab research areas are machine learning and data mining; semantic intelligence; distributed intelligence for IoT; cloud and big data infrastructures; multimedia coding and delivery; wireless and fixed networking; electromagnetics, RF and high-speed circuits and systems. Within Antwerp, IDLab specifically focuses on wireless networking and distributed intelligence. IDLab has a unique research infrastructure used in numerous national and international collaborations.
IDLab collaborates with many universities and research centres 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 machine learning research cluster, we are looking for a PhD researcher in the domain of machine learning for wearables.
The research project
Network management solutions such as SDN have provided flexible management in core networks, but still have an important gap in wireless networks such as IoT and 5G. This gap has led to situations where people are dissatisfied with the behavior or performance of their wireless infrastructure, despite the advancements in the technologies, as applications cannot express their intentions to the wireless network and the measurement tools have a too limited view on application specific network performance to perform optimizations.
In this research project, you will be part of a team that researches new ways to manage the networks of the future. We do this by focusing on application requirements and configuring the network proactively. Within this research project, you will be focusing on the machine learning challenges of the project. More specifically you will be developing new learning algorithms for dealing with limited labeled data and resource constrained devices (e.g., sensors).
For more information, please contact