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PhD Studentship in Semantic Audio and Intelligent Music Production at the Centre for Digital Music

From: Gyorgy Fazekas <g.fazekas@qmul.ac.uk>
Date: Thu, 20 Aug 2015 13:59:46 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <829C5FDF-5D00-4821-B394-71C3A486DE94@qmul.ac.uk>
PhD Studentship in Semantic Audio and Intelligent Music Production at the Centre for Digital Music

[Apologies for the cross posting]

Applications are invited for a fully-funded PhD studentship in the areas of Semantic Audio and Intelligent Music Production to seek novel ways of interacting with audio in music production, particularly in the recording studio. Topics of interest include but not limited to intelligent audio editing, feature extraction at source exploiting multitrack recordings, Semantic Web ontologies and ontology-based information management in music production. The research will involve working at the intersection of digital signal processing, machine learning, formal knowledge representation and human-computer interaction.

Candidates must have a first-class honours degree or equivalent, or a good MSc Degree in Computer Science, Electronic Engineering, Sound and Music Computing or equivalent. Candidates should be confident in digital signal processing, machine learning, and/or knowledge representation and logic-based reasoning. Programming experience e.g. in Python, MATLAB, Prolog, Lisp, R, C/C++, Java or similar is essential. Prior experience in sound engineering and web technologies are welcome. An existing track record of publications and experience in music software development are very advantageous.

All nationalities are eligible to apply for this studentship which will start in the Autumn of 2015. The studentship is for three years, and covers student fees as well as a tax-free stipend of £16,057 per annum. The PhD supervisors will be Dr Gyorgy Fazekas and Prof Mark Sandler. The project will be based in the School of EECS, and the student will become a member of the interdisciplinary Centre for Digital Music (C4DM).

Informal enquiries can be made by email to Dr Fazekas (g.fazekas@qmul.ac.uk<mailto:g.fazekas@qmul.ac.uk>).

To apply, please follow the on-line process at (http://www.qmul.ac.uk/postgraduate/applyresearchdegrees/index.html) click on list of Research Degree Subjects and select ‘Electronic Engineering’ in the ‘A-Z list of research opportunities’ and following the instructions on the right-hand side of the web page. The application requires a brief statement of research interests (approx. 500 words) which should answer why you are interested in the topics above and describe any relevant experience you have. A sample of written work (excerpt of final year dissertation or published academic paper) is also required. There is scope to tailor the research to the interests and skills of the successful candidate.

More details can be found at http://www.eecs.qmul.ac.uk/phd/research-topics/funded and http://www.eecs.qmul.ac.uk/phd/how-to-apply.

The closing date for the applications is 28 August 2015.

Interviews are expected to take place mid September.

Best wishes,

Dr Gyorgy Fazekas
Lecturer in Digital Media
Centre for Digital Music (C4DM)
Queen Mary University of London, UK
Received on Thursday, 20 August 2015 14:00:21 UTC

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