PhD: AI for data-driven representation optimization for time series

il y a 3 semaines


Leuven, Belgique KU Leuven Temps plein

You have a master's degree in engineering with a background in any of the following domains: electrical or mathematical engineering, biomedical engineering, computer science, information technology, artificial intelligence, signal processing (or a similar degree with an equivalent academic level). You like mathematics and you have a solid mathematically-oriented backgroundYou have a genuine interest in algorithms and methodologies for machine learning, artificial intelligence, and signal processingYou obtained good grades in courses related to the topics relevant to this PhD positionYou are able to do independent research (demonstrated by, e.g., excellent grades on a MSc thesis, etc.)You have a critical mindsetYou have an excellent proficiency in the English language (both speaking and writing)This job opening covers a PhD position (4 years) at the STADIUS-BIOMED group of the Electrical Engineering Dept. ESAT of KU Leuven (Belgium) in the frame of the AI initiative of the Flemish Government. The goal of this research is to develop new machine learning methods for data-driven selection and optimization of time series representations, with an application focus on (but not limited to) biomedical signal processing. The quality of the methods can be validated on EEG-based decoding tasks, cardiac abnormality detection, and/or others.The work will be performed within the research division STADIUS at the Department of Electrical Engineering (ESAT). STADIUS' major research objective is to contribute to the development of improved digital (control and signal processing) systems that incorporate advanced mathematical modeling techniques as a crucial new ingredient. Within STADIUS, the Biomedical Data Processing Research Group (Prof. Alexander Bertrand & Prof. Maarten De Vos) is dedicated to pushing the limits of biomedical data processing.A funded PhD scholarshipAn exciting interdisciplinary research environmentA KU Leuven affiliation, Europe's most innovative university and 7th in the world (Reuters)The possibility to take part in international conferences and collaborationsA competitive salary



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