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research positions in music+semantic web at centre for digital music

From: George Fazekas <g.fazekas@qmul.ac.uk>
Date: Wed, 26 Nov 2014 11:28:03 +0000
Message-Id: <6F6A91E5-BBBE-48F0-9CF5-3C481E6846EF@qmul.ac.uk>
Cc: Mark Sandler <mark.sandler@qmul.ac.uk>
To: Linking Open Data <public-lod@w3.org>
Postdoc positions in music+semantic web available at the Centre for Digital Music, Queen Mary University of London.

I'm forwarding this on behalf of Prof. Mark Sandler. 

Best wishes,
George Fazekas
Lecturer in Digital Media
Queen Mary University of London

Begin forwarded message:

> From: Mark Sandler <mark.sandler@QMUL.AC.UK>
> Subject: research positions in music+semantic web at centre for digital music
> Date: 24 November 2014 10:07:30 GMT
> Reply-To: Mark Sandler <mark.sandler@QMUL.AC.UK>
> The Centre for Digital Music at Queen Mary University of London is seeking to appoint several Research Assistants (both full-time and part-time) on the research project FAST (Fusing Audio and Semantic Technologies for Intelligent Music Production and Consumption). Funded by EPSRC, FAST is a collaboration of 3 UK universities with 5 industrial partners, including partners in Germany and USA. The project runs over 5 years, with a total budget over 5M.
> Applicants are expected to have expertise in one or more of: music/audio signal processing, machine learning, Ontologies, Semantic Web, Artificial Intelligence, Logic and Inference, Natural Language Processing, User interfaces and User Experience, Music Informatics, or Music Information Retrieval. The successful candidate must also have excellent programming skills in suitable high level languages, such as MATLAB, C++, Java, Python, Prolog, and it would be an advantage to have significant knowledge of several of the following: recording studio practice, Digital Audio Workstations, Asset Management Systems, Archiving, (Digital) Audio Effects, harmonic analysis and harmonic modelling of audio, source separation, sinusoidal modelling, metadata, RDF, audio standards and the standardisation process (MPEG, AES, W3C, EBU), music theory, symbolic music representation, perception and music psychology, similarity, recommendation engines, (music) big data, cloud computing and virtualisation.
> The posts are available immediately for 24 months but may be extended beyond their current end date subject to further funding approval.
> Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
> Informal enquiries should be addressed to Prof Mark Sandler at mark.sandler@qmul.ac.uk.
> Details about the School can be found at www.eecs.qmul.ac.uk
> To apply, please click the 
> http://www.jobs.qmul.ac.uk/5298&s=electronic%20engineering%20and%20computer%20science
> for full time positions, or
> http://www.jobs.qmul.ac.uk/5299&s=electronic%20engineering%20and%20computer%20science
> for part-time positions
> The closing date for applications is Monday 5 January 2015 and interviews are expected to be held in shortly afterwards.
> -- 
> professor mark sandler, CEng, FIEEE, FAES, FIET, FBCS
> director of the EPSRC/AHRC CDT in media and arts technology
> school of electronic engineering and computer science
> queen mary university of london
> mark.sandler@qmul.ac.uk
> +44 (0)20 7882 7680
> +44 (0)7775 016715
> twitter: @markbsandler
Received on Friday, 28 November 2014 10:50:36 UTC

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