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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more
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modeling; performing source separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement
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human movement data for analysis; audio feature extraction; the computational analysis of human movement, biomechanics and vocalization; and co-writing articles. The position is available for a period of
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the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source separation on commercial recordings and extracting audio features (onsets
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-camera video recordings (for pose tracking) of human movement; preparing human movement data for analysis; audio feature extraction; the computational analysis of human movement, biomechanics and
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human movement data for analysis; audio feature extraction; the computational analysis of human movement, biomechanics and vocalization; and co-writing articles. For more information and how to apply