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of older persons. The candidate will also contribute to teaching activities related to machine learning or other areas depending on the candidate’s profile. Moreover, the candidate is a team player that
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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
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. 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
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have taken specialized courses in some of the following disciplines: digital signal processing, audio signal processing, machine learning, and/or machine listening. Research experience (e.g. through
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You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, the Internet of Things, Edge
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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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, Machine Learning Eligibility criteria The successful candidate will be expected to make significant contributions to the development of robust damage assessment tools for complex industrial structures
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tools designed for electronic transcriptions, collations and editions. Working as part of a team of researchers, the successful PhD candidate will contribute to the project’s objectives by focussing
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published as a monograph after completion: (a) Cross-language Analysis of so-called “Western” Readings The PhD candidate will investigate so-called “Western” readings in a selection of bilingual manuscripts