PhD position: Assessing and enhancing quality of time series data with AI methodologies

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). The goal of this research is to develop new machine learning methods for the quality assessment and enhancement of signals and annotations in time series data, with an application focus on (but not limited to) biomedical signals. The validation of the developed tools can be done on real-world clinical use cases involving, e.g., electrocardiograms, electromyography and electroencephalography signals.

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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