Two PhD positions with the Centre for Digital Music
Music Informatics and Semantic Audio
Applications are invited for 2 fully-funded PhD studentships, allied
to the 5 year EPSRC and Digital Economy funded Programme Grant: Fusing
Audio and Semantic Technologies for Intelligent Music Production and
Consumption (FAST-IMPACt or FAST). The grant started in June 2014 and
runs until June 2019.
FAST-IMPACt aims to answer questions such as: How can next generation
web technologies (Ontologies, Linked Data, Metadata) combined with
music content analysis in the studio bring new value and functionality
to producers, creators, consumers and intermediaries of music content?
And how will both ends of the music value chain benefit from more
engaging interactions (enhanced productivity, increased enjoyment and
immersion) while creating or consuming music? And can intermediaries
add value with semantically enhanced services?
Helping us pursue this vision are national and international partners
from academia and industry, including BBC R&D, Abbey Road, Omnifone,
Universal Music, Solid State Logic, International Audio Labs and more.
Candidates must have a first-class honours degree or equivalent, or a
good MSc Degree in Computer Science, Electronic Engineering, Sound &
Music Computing or equivalent. Candidates should be confident in
digital signal processing and/or machine learning, and have
programming experience in, e.g. MATLAB, Mathematica, Python, Java, C++
or similar. Prior experience with Semantic Web is welcome. Experience
in research and a track record of publications is very advantageous.
Formal music training or sound engineering experience is also
More details can be found at:
The closing date for the applications is 31/07/15. Interviews are
expected to take place between 2 and 4 September 2015.
professor mark sandler, CEng, FIEEE, FAES, FIET, FBCS
royal society wolfson research merit award holder
director of the EPSRC/AHRC CDT in media and arts technology (MAT)
director of the centre for digital music (c4dm)
school of electronic engineering and computer science
queen mary university of london
+44 (0)20 7882 7680; +44 (0)7775 016715
follow the FAST-IMPACt Programme Grant @semanticaudio