[AUDITORY] ICASE PhD studentship: Music Data Science for Music Recommendation and Discovery

Subject: [AUDITORY] ICASE PhD studentship: Music Data Science for Music Recommendation and Discovery

From: Mark Sandler <mark.sandler@xxxxxxxxxx>

Date: Fri, 2 Feb 2018 16:29:42 +0000

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Thread-topic: ICASE PhD studentship: Music Data Science for Music Recommendation and Discovery

Well-funded PhD at Queen Mary University of London with BBC R&D investigates music discovery and recommendation for professional users and music consumers, using Data Science techniques.

Closes 31 March 2018.

Further details http://bit.ly/2nDic4q

professor mark sandler, FREng

BSc (Hons), PhD, CEng, FIEEE, FAES, FIET

royal society wolfson research merit award holder

director of the centre for digital music (c4dm)and qMedia

school of electronic engineering and computer science
queen mary university of london

mark.sandler@xxxxxxxxxx
+44 (0)20 7882 7680
+44 (0)7775 016715
twitter: @markbsandler,

follow the FAST-IMPACt Programme Grant @semanticaudio