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---------- Forwarded message ----------
From: Gyorgy Fazekas <g.fazekas(a)qmul.ac.uk>
Date: 8 May 2018 at 16:03
Subject: Postdoc position in London / QMUL / Semantic Audio
To: "semantic-web(a)w3.org" <semantic-web(a)w3.org>
Postdoc opportunity, salary: £32,405 - £36,064, closing: 20 May 2018,
duration: 8 month. Apologies for the reminder and cross posting,
please circulate widely.
Dear All,
The Centre for Digital Music (C4DM) at Queen Mary, University of
London is seeking to appoint a Post Doctoral Research Assistant as
part of the Audio Commons project to extend the existing team of
researchers.
Audio Commons aims to bring the success of Creative Commons (CC) to
the world of audio and the creative industries by helping the
retrieval, reuse, management and licensing of audio content.
Audio Commons is a joint European Union Horizon 2020-funded project
combining the strength of 3 academic and 3 industry partners; UPF,
Barcelona, (Music Technology Group), Queen Mary University of London,
(C4DM), University of Surrey, (Centre for Vision, Speech and Signal
Processing, Institute of Sound Recording, Surrey Business School),
AudioGaming, Toulouse, France, Waves, Tel-Aviv, Israel, Jamendo Music,
Luxemburg. The project runs over 3 years, with a total budget of over
EUR 2.9M.
The project addresses several issues faced by the creative industries
when using musical as well as non-musical audio material on the Web
and aims to develop novel methods enabling the creation, access,
retrieval and reuse of audio material in innovative new ways. The
researcher will develop algorithms that combine audio signal
processing for content analysis with semantic web technologies for
gathering and analysing contextual information related to audio
recordings. The work will involve the development of new ontologies
and Web-based Application Programming Interfaces supporting the Audio
Commons Ecosystem, developing novel signal processing and machine
learning algorithms for content annotation, and conducting user
studies to evaluate application specific prototypes, such as novel
tools for sound design, in collaboration with the project's industry
partners.
For more information about Audio Commons, please see:
http://audiocommons.org
Applicants are expected to have excellent research, programming and
academic writing skills, as well as expertise in two or more of the
following areas: 1) Semantic Web technologies (RDF, SPARQL, OWL) and
Linked Data or databases and structured data representation, 2) Audio
Signal Processing, Machine Learning and Music Information Retrieval,
3) Logic-based inference, REST-based Application Programming
Interfaces. Strong programming skills (preferably in Python) is
essential.
The post is full time and available for 8 months or until 31 January
2019, whichever is the shorter. The starting salary will be in the
range of £32,956 - £36,677 per annum inclusive of London allowance.
Benefits include 30 days annual leave, defined benefit pension scheme
and interest-free season ticket loan.
Informal enquiries should be addressed to Dr. George Fazekas at:
g.fazekas(a)qmul.ac.uk.
Details about the School can be found at:
www.eecs.qmul.ac.uk.
The closing date for applications is Sunday 20 May 2018 and interviews
are expected to be held shortly afterwards.
To apply, please visit the Human Resources website
(
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3259) and
search for reference QMUL14659.
Please apply directly online where you find the full details of the
available positions. Please do not send completed applications by
email.
Best wishes,
Dr. George Fazekas
Lecturer in Digital Media,
Centre for Digital Music
School of Electronic Engineering and Computer Science
Queen Mary, University of London
Web:
http://eecs.qmul.ac.uk/~gyorgyf/
AudioCommons:
http://audiocommons.org
SAAM2018:
http://saam.semanticaudio.ac.uk/
--
Andy Mabbett
@pigsonthewing
http://pigsonthewing.org.uk