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Research Fellow in Machine Listening

Department of Electrical & Electronic Engineering

Location:  Guildford
Salary:  £30,688 to £38,833 per annum plus benefits
Fixed Term Contract until 13/03/2019
Post Type:  Full Time
Advert Placed:  Wednesday 21 March 2018
Closing Date:  Tuesday 01 May 2018
Interview Date:  Wednesday 16 May 2018
Reference:  021518
Applications are invited for a Research Fellow in Machine Listening to work full-time on an EPSRC-funded project “Making Sense of Sounds”, to start as soon as possible, for 9.75 months until 13 March 2019. This project is investigating how to make sense from sound data, focussing on how to allow people to search, browse and interact with sounds. The candidate will be responsible for investigating and developing machine learning methods for analysis of everyday sounds, leading to new representations to support search, retrieval and interaction with sound.
The successful applicant is expected to have a PhD or equivalent in electronic engineering, computer science or a related subject, and is expected to have significant research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: deep learning; blind source separation, blind de-reverberation, sparse and/or non-negative representations, audio feature extraction.
The project is being led by Prof Mark Plumbley in the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey and the University of Salford. The postholder will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. For more about the project see: http://cvssp.org/projects/making_sense_of_sounds/
CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of £20M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio. Audio-visual compute includes 700 cores and a 50GPU machine learning cluster with 500TB of online storage.
Informal enquires are welcome, to: Prof Mark Plumbley (m.plumbley@surrey.ac.uk), Dr Wenwu Wang (w.wang@surrey.ac.uk), or Dr Philip Jackson (p.jackson@surrey.ac.uk).
The University of Surrey is amongst the highest achieving universities in the United Kingdom, having been awarded the Times/ Sunday Times University of the Year Award for 2016. We are ranked 10th in The Times Higher Education Table of Tables for UK universities in 2018, and we are the recipient of four Queen’s Anniversary Prizes.

The University is located in one of the safest counties in England, within 35 minutes of London by train and minutes away from the Surrey Hills, an Area of Outstanding Natural Beauty. In addition to salary you will receive a generous annual leave entitlement and excellent development opportunities. Benefits package includes generous salary package, pension scheme, child care assistance and discounted membership to our world-renown Surrey Sports Park.

Please apply online through the button below.

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).

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Further details:

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

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