postdoc position available

Dear All,

The Centre for Digital Music (C4DM) at Queen Mary, University of London is seeking to appoint a Post Doctoral Research Assistant<https://webapps2.is.qmul.ac.uk/jobs/job.action?jobRef=QMUL10803> as part of the Audio Commons<http://www.audiocommons.org/> project.

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<http://audiocommons.org/>

The available position starts in May 2017 or as soon as possible beforehand and end in January 2019.

Applicants are expected to have excellent research, programming and academic writing skills, as well as expertise in two or more of the following areas: Semantic Web technologies (RDF, SPARQL, OWL) and Linked Data, Audio signal processing and Machine Learning, Natural Language Processing, Logic-based inference, Web technologies (HTML, CSS, REST, JSON, Javascript), REST-based Application Programming Interfaces.

The starting salary will be in the range of £36,064 to £42,431 per annum (Grade 5) depending on experience and inclusive of London allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.

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 Monday 13 March 2017 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?jobRef=QMUL10803)  and search for reference QMUL10803.

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 (room CS414)
School of Electronic Engineering and Computer Science
Queen Mary, University of London
Web: http://eecs.qmul.ac.uk/~gyorgyf/
See also: http://audiomostly.com/
Email: g.fazekas at qmul.ac.uk<http://qmul.ac.uk/>