Research Fellow on Audio Signal Processing

University of Surrey - Department of Electrical & Electronic Engineering

Applications are invited for a Research Fellow position available at Centre for Vision Speech and Signal Processing, University of Surrey, to work on a project entitled "Audio Commons", funded by the European Union. This project is being undertaken by a unique consortium of academic and industrial experts from the University of Surrey, Universitat Pompeu Fabra, Queen Mary University of London, Jamendo SA, AudioGaming, and Waves Audio Ltd.

You will be expected to work in CVSSP, responsible for developing signal processing algorithms for feature extraction associated with non-musical (e.g. timbral) properties of audio signals. In particular, you will be looking into methods for improving reverberation time estimation from recorded audio, and identifying better methods to distinguish between the direct and reverberant portions of stimulus, e.g. by considering a combination of level changes, continuity of partials, spectral homogeneity and autocorrelation. Other measures, other than reverberation times, such as reverberation level, may also be considered. These features will then be integrated with timbral models, developed by Institute of Sound Recording (IoSR) at University of Surrey, to further improve its predictability of non-musical properties of audio. These methods will be perceptually evaluated and validated using stimuli and listening tests, in collaboration with IoSR.

The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: audio signal processing, audio feature extraction, room acoustics, and reverberation time estimation. Experience in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage, as will academic publications in a relevant area.

The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this post will be jointly supervised by Dr Wenwu Wang in CVSSP.

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 (m.plumbley@surrey.ac.uk) or Dr Wenwu Wang (w.wang@surrey.ac.uk).

This is a six month fixed term position currently ending in July 2018.

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£30,688) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£31,604).

For more information and to apply online, please download the further details and click on the 'apply online' button below.

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