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.
University of Antwerp – imec IDLab Research group
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 SMEs, as well as numerous ambitious startups).
For further development of the IDLab AI Systems team in the machine learning cluster, we are looking for a PhD candidate in Near-Sensor Artificial Intelligence for resource-constrained, distributed IoT and remote-sensing applications.
The AI Systems team advances machine learning algorithms for the next- generation of sustainable and neuromorphic compute devices. The team's research areas include very low-power deep neural network frameworks (e.g., TinyML), sensor fusion, spiking neural networks and event-based computing, and hyperdimensional computing. Our goal is AI ubiquity through novel bio- inspired mechanisms that arise surprising intelligent functionality out of imperceptible devices. The team applies its AI solutions in domains such as autonomous vehicles, shipping and aerospace, industry 4.0, beyond-5G wireless, smart cities, and multimedia, and collaborates with influential industry partners in these domains.
More information about the PhD topic: Philippe Reiter - email@example.com
HR-Related Questions: Michelle Nietvelt – firstname.lastname@example.org
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