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[PostDoc position at C4DM, duration: up to 17 month, salary: £32,405 - £36,064, closing date: 27 August 2017. Apologies for 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.
About the 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
About the role:
The post is full time and available from September 2017 up to 17 months or until 31 January 2019, whichever is shorter. The position focuses on human computer interaction and user evaluation applied to novel interfaces for audio/music production. Applicants
are expected to have significant experience in designing and conducting studies involving human participants (e.g. user evaluation, surveys, interviews, perceptual experiments), as well as in qualitative and quantitative data analysis, with knowledge of appropriate
software tools. Expertise in at least two of the following areas is essential: human computer interaction applied to audio/music, music perception, audio signal processing and machine learning, audio software design and development.
The starting salary will be in the range of £32,405 - £36,064 per annum inclusive of London allowance and increasing after 12 months. 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@xxxxxxxxxx and
Dr. Mathieu Barthet at: m.barthet@xxxxxxxxxx.
Details about the School can be found at: www.eecs.qmul.ac.uk.
The closing date for applications is 27 August 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?jobID=2566) and search for reference QMUL12255.
Please apply directly online where you find the full details of the available positions. Please do not send completed applications by email.
Best wishes,
Mathieu Barthet
Lecturer in Digital Media
Technical Director of the Media and Arts Technology Studios
Centre for Digital Music (Room Eng 111)
School of Electronic Engineering and Computer Science
Queen Mary University of London
Mile End Road, London E1 4NS
Tel: +44 (0)20 7882 7518 - Fax: +44 (0)20 7882 7997
E-mail: m.barthet@xxxxxxxxxx
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