Postdoc position in London / QMUL / Semantic Audio/Web

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@qmul.ac.uk<mailto:g.fazekas@qmul.ac.uk>.

Details about the School can be found at: www.eecs.qmul.ac.uk<http://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/