Dear Colleagues, The Centre for Digital Music (C4DM) at Queen Mary, University of London is seeking to appoint Research Assistants as part of the Audio Commons project, bringing the idea of Creative Commons (CC) to the world of audio and helping the retrieval, reuse, management and licensing of audio content with novel applications of CC audio.
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 aims to address 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 positions start in February or May 2016 with a duration of 33 or 36 months. Applicants are expected to have excellent research, programming and academic writing skills, as well as expertise in two or more of the following areas: audio signal processing and machine learning, Web-based distributed systems, Linked Data and Semantic Web technologies (RDF, SPARQL, OWL), Logic-based inference, Natural Language Processing, Web technologies (HTML, CSS, REST, JSON, Javascript), REST-based Application Programming Interfaces. The starting salary will be in the range of £32,052 - £35,672 per annum 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: [email protected]<mailto:[email protected]>. 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 5 January 2016 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=QMUL7530) and search for reference QMUL7530. 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/ Email: g.fazekas at qmul.ac.uk<http://qmul.ac.uk>
