Research Software Officer in Spatial Audio

University of Surrey - Department of Electrical & Electronic Engineering

Applications are invited for a Research Fellow (Research Software Developer) to work full-time from September 2017 for up to 21 months on an EPSRC funded project "S3A: Future Spatial Audio" ( This project is tackling the challenge of delivering immersive listening experiences that work in real living rooms. The project is investigating new methods for audio representation using objects and enabling technologies for the entire production pipeline from creating the script to a user interacting with the content in their home.

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 spatial audio production, such as automated objectification of audio recordings, e.g., using tracking or source separation algorithms that we have created, and will work with the project's VISR framework and colleagues across the project to form a spatial audio production 'ecosystem'. Locally, the candidate will be working as part of a team, with four other full-time researchers focussing on various aspects audio-visual signal processing for spatial audio production.

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, ambisonics, audio coding, speech processing, and/or music information retrieval. Significant experience of audio software development should include one or more of the following: DAW plugin development (e.g., VST or AduioUnits using JUCE), real-time audio signal processing (e.g., Max/MSP or Pure Data), web audio API. Both Python and Matlab are desirable, as well as C/C++. Research experience in audio signal processing or experience of working closely with audio signal processing researchers is also desirable.

The research stream within S3A is led by Dr Philip Jackson in the Machine Audition Lab of the Centre for Vision, Speech and Signal Processing (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.

We also collaborate closely with the Institute of Sound Recording (IoSR), which 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: Dr Philip Jackson (

Interviews are likely to be held in the week commencing 4th September 2017.

The project is funded until June 2019.

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