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PhD researcher on Machine Learning for WearablesPosted by: University of Antwerp
Posted date: 2019-Feb-05
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
People take thousands of decisions everyday: some trivial, some very important ones. A lot of these decisions have an impact on health and well-being: should I eat another snack? Will I take the stairs or the elevator? Nudge is a concept in behavioral science which proposes positive reinforcement and indirect suggestions as ways to influence the behavior and decision making of people.
In this multi-disciplinary research project, you will be part of a team that researches new ways to use nudges within wearables to make personalized and timely recommendations. These recommendations should motivate people to lead an active and healthy life. Within this project, you will be responsible for developing new machine learning solutions, which can be run on embedded devices such as wearables. You will thus be researching new power-efficient machine learning algorithms and apply them to wearable settings such as the use of nudging recommendations.
For more information, please contact Hanne.Evertsuantwerpen.be.