Subject: PhD Studentship at CVSSP, University of Surrey, UK (application deadline 7th August) From: Wenwu Wang <w.wang@xxxxxxxx> Date: Tue, 28 Jul 2009 16:11:53 +0100 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>Dear List, Please feel free to share the following message to prospective students who may be interested. Thank you. Apologies if you have received multiple copies. Best wishes, Wenwu Wang ------------------------------------- PhD Studentship in Multimodal Blind Source Separation for Robot Audition Centre for Vision Speech and Signal Processing (CVSSP) University of Surrey Applications are invited for a three-year PhD studentship funded by the EPSRC to pursue research in the area of multimodal (audio-visual) blind signal processing with applications to automatic separation of a target speech signal from a mixture of sound sources. The project, starting on Thursday, October 1, 2009, will be focusing on developing novel signal processing algorithms and software tools to explore both auditory and visual data with the aim of enabling a robotic system with certain perceptual abilities of complex auditory scenes. Successful applicants will join the CVSSP, a world-leading research group in sensory (visual and auditory) data analysis and interpretation. CVSSP is one of the largest UK research groups in machine vision and audition with more than 70 researchers. It also has world-class audio and video facilities that are uniquely placed for performing the research in this project. CVSSP forms part of the Department of Electronic Engineering, which received one of the highest ratings (joint second position across the UK) in the last research quality assessment, i.e. 2008 RAE, with 70% of its research classified as either 4* ("world-leading") or 3* ("internationally excellent"). As an additional benefit, the successful applicant has the opportunity to join the DSTL University Defence Research Centre in Signal Processing, which is composed of signal processing researchers from over a dozen of universities across the UK. Entry Requirements Applicants should have a first or 2:1 honours degree or equivalent in electrical and electronic engineering, computer science, mathematical science, statistics, physics, or related disciplines. Applicants should be able to demonstrate excellent mathematical, analytical and computer programming skills. Advantages will be given to the applicants who have experience in one or more areas of audio and speech signal processing, image and video signal processing, blind source separation, and/or machine learning. Funding The studentship includes tuition fees (on a UK/EU rate of approximately £3,400 per year) and an annual bursary of approximately £13,000. Prospective students from any nationals are eligible to apply. However, overseas (i.e. non UK/EU) applicants should be prepared to cover the difference in tuition fees, which is approximately £8,000 per year. How to Apply Applications should include a CV, a covering letter explaining the reason why you are interested in this studentship, a scanned copy of your undergraduate and/or postgraduate transcripts and certificate of qualifications, names and contact details of two referees. Please quote the above studentship in your email or covering letter. Applications should be sent to: Mr James Field Centre for Vision Speech and Signal Processing Department of Electronic Engineering University of Surrey Guildford, Surrey GU2 7XH, UK. E: james.field@xxxxxxxx For informal inquiries about the studentship, please contact Dr Wenwu Wang, email: w.wang@xxxxxxxx Suitable candidates will be shortlisted within one week of the closing date, and then invited for completing the application form and for an interview. For further information about the University of Surrey, please visit www.surrey.ac.uk. The closing date for applications is Friday August 7th 2009. The University is committed to an Equal Opportunities Policy. -- Wenwu Wang Centre for Vision Speech & Signal Processing Department of Electronic Engineering Faculty of Engineering & Physical Sciences University of Surrey Guildford, GU2 7XH, United Kingdom T: +44 (0) 1483 686039 F: +44 (0) 1483 686031 E: w.wang@xxxxxxxx