Research Fellow (Research Software Developer) in Musical Audio Repurposing using Source Separation

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Research Fellow (Research Software Developer) in Musical Audio Repurposing using Source Separation

University of Surrey, Centre for Vision Speech and Signal Processing (CVSSP)
Country of Position: 
United Kingdom
Contact Name: 
Mark Plumbley
Subject Area: 
Audio and Acoustic Signal Processing
Start Date: 
January 01, 2017
Expiration Date: 
January 31, 2017
Position Description: 
University of Surrey, Centre for Vision Speech and Signal Processing (CVSSP)
Salary:  GBP 31,076 to GBP 38,183 per annum  
Closing Date:  31 January 2017 
Reference:  095616
Applications are invited for a Research Fellow (Research Software Developer) to work full-time on an EPSRC funded project “Musical Audio Repurposing using Source Separation” from 1 March 2017 to 31 January 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation.
The candidate will be responsible for developing an extensible open-source research software framework, in conjunction with other researchers in the project. They will also develop user software and demonstrators for audio repurposing, such as upmixers for and remixers, and will work with a specialist app developer to create a demonstrator remixing app. The candidate will be working as part of a team, with two other researchers focussing on audio source separation and perceptual evaluation methods.
The successful applicant is expected to have excellent mathematical and programming skills, as well as either a Masters degree in electronic engineering, computer science or related subject, or equivalent professional experience. They will have demonstrable experience in software development relevant to audio and music signal processing, in topics such as digital signal processing, acoustics, binaural audio, multichannel audio, audio coding, speech processing, and/or music information retrieval. Significant experience of development in both Python and Matlab as well as C/C++ is desirable. Research experience in audio signal processing or experience of working closely with audio signal processing researchers is also desirable.
The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and in collaboration with the Institute of Sound Recording (IoSR).
CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room.
Informal enquires are welcome, to: Prof Mark Plumbley (
For more information and to apply online, visit
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