Vacancy available: Research Fellow in Audio-visual Speech Separation, CVSSP, Surrey, UK ("Wenwu W. Wang" )


Subject: Vacancy available: Research Fellow in Audio-visual Speech Separation, CVSSP, Surrey, UK
From:    "Wenwu W. Wang"  <W.Wang@xxxxxxxx>
Date:    Wed, 21 Jul 2010 22:18:42 +0100
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

** Apologise for cross-posting ** Dear List, I would like to bring to your attention the following research position available at the University of Surrey, UK. Please feel free to circulate to those who might be interested. Thanks Best wishes, Wenwu ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- University of Surrey FACULTY OF ENGINEERING & PHYSICAL SCIENCES Centre for Vision, Speech and Signal Processing (CVSSP) Research Fellow in Audio-Visual Speech Separation (Ref: 7723) Salary: £28,983 - £33,600 per annum (Subject to qualifications and experience) Applications are invited for a postdoctoral Research Fellow position for a period of 30 months in the Centre for Vision Speech and Signal Processing (CVSSP), starting on 1st October 2010. You will be expected to work on a recently funded EPSRC project, entitled "Audio and video based speech separation for multiple moving sources within a room environment". This is a collaborative project with Loughborough University. The project aims to investigate the problem of separating multiple moving sources from convolutive speech mixtures in an indoor environment using the additional information from video signals. The research focus at Surrey will be on the algorithm development for visual localisation and tracking of multiple moving speakers in video. The visual information will then be combined with the audio modality to assist the separation of speech sources from the reverberant mixtures based on the coherence between the bi-modalities of audio and visual speech. You will join the CVSSP department, a 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 110 researchers. It also has world-class audio and video facilities that are uniquely placed for performing research in this area. 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 work with researchers at the Advanced Signal Processing Group, Loughborough University, UK, and the GIPSA Lab, Grenoble, France. You should have a PhD degree or equivalent in electrical and electronic engineering, computer science, mathematical science, statistics, physics, or related disciplines. You should be able to demonstrate excellent mathematical, analytical and computer programming skills. Experience in visual tracking, multimodal signal processing, blind source separation, and/or machine learning would be an advantage. For informal inquiries about the position, please contact Dr Wenwu Wang (w.wang@xxxxxxxx) or Prof Josef Kittler (j.kittler@xxxxxxxx). For an application pack and to apply on-line please go to our website: http://www.surrey.ac.uk/vacancies. If you are unable to apply on-line please contact Miss Stacey Michaelides, HR Assistant on Tel: +44 (0) 1483 686106 or email: s.michaelides@xxxxxxxx Please quote Post Ref No. 7723 Closing date for applications is 9 August 2010. (Suitable candidates will be shortlisted for an interview within one week of the closing date) For further information about the University of Surrey, please visit www.surrey.ac.uk. We acknowledge, understand and embrace cultural diversity


This message came from the mail archive
/home/empire6/dpwe/public_html/postings/2010/
maintained by:
DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University