Dear all,
Please excuse any cross-posts.
Applications are invited for a fully-funded PhD studentship to seek
ways to exploit novel and holistic approaches to evaluation for
building machine music listening systems (and constituent parts). A
major emphasis will be on answering “how” systems work and “what” they
have learned to do, in relation to the success criteria of real-world
use cases. The research will involve working at the intersection of
digital signal processing, machine learning, and the design and
analysis of experiments.
For more information, see:
Please excuse any cross-posts.
Applications are invited for a fully-funded PhD studentship to seek
ways to exploit novel and holistic approaches to evaluation for
building machine music listening systems (and constituent parts). A
major emphasis will be on answering “how” systems work and “what” they
have learned to do, in relation to the success criteria of real-world
use cases. The research will involve working at the intersection of
digital signal processing, machine learning, and the design and
analysis of experiments.
For more information, see:
http://www.eecs.qmul.ac.uk/phd/research-topics/funded#phd-studentship-in-intelligent-machine-music-listening
Cheers.
-Bob L. Sturm
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Bob L. Sturm, Lecturer in Digital Media
School of Electronic Engineering and Computer Science
Eng. 111
Queen Mary University of London
Mile End Road London E1 4NS
United Kingdom
