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[Apology if you received multiple copies of this message]
Dear all,
We have a research fellowship post on acoustic source separation and localisation. More details about how to apply can be found from here
https://jobs.surrey.ac.uk/vacancy.aspx?ref=014417
Department of Electrical & Electronic Engineering
Applications are invited for a postdoctoral research fellow position available at CVSSP, starting in March 2017, to work in the area of acoustic source separation and localisation for one year. The project aims to develop robust algorithms for extracting and localising sources of interest from noisy acoustic measurements, especially from underwater acoustic data, which may contain not only the target source signal, but also the interfering sources, background noise, and surface/sea-bed reflections. Methods of interest for this work include sparse representations, compressed sensing, and Bayesian techniques. The methods to be developed will be evaluated with simulated data generated using acoustic models, as well as real data recorded by hydrophone arrays. This project will contribute to the Work Package 3 of the LSSCN consortium, funded by EPSRC/Dstl under the MoD UDRC in Signal Processing (see http://udrc.eng.ed.ac.uk/research/lssc-consortium/L_WP3-signal-separation-and-broadband-distributed-beamforming for more details). Successful applicants will join the CVSSP, a leading research group in sensory (visual and auditory) data analysis and interpretation, and will work closely with Dr Wenwu Wang. CVSSP is one of the largest UK research groups in machine vision and audition with more than 120 researchers, with core expertise in Signal Processing, Image and Video Processing, Pattern Recognition, Computer Vision, Machine Learning and Artificial Intelligence, Computer Graphics and Human Computer Interaction. CVSSP forms part of the Department of Electronic Engineering, which received one of the highest ratings in the last two research quality assessment, i.e. 2008 RAE, with 70% of its research classified as either 4* ("world-leading") or 3* ("internationally excellent") and in 2014 REF with over 90% of its research classified as either 4* ("world-leading") or 3* ("internationally excellent"). Applicants should have a PhD degree or equivalent in electrical and electronic engineering, computer science, mathematical science, statistics, 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 underwater acoustic signal processing, source separation, sparse representations, and machine learning. For informal inquiries about the position, please contact Dr Wenwu Wang (w.wang@xxxxxxxxxxxx). Please feel free to circulate to those who might be interested.
Best wishes,
Wenwu -- Dr Wenwu Wang Centre for Vision Speech and Signal Processing Department of Electronic Engineering University of Surrey Guildford GU2 7XH United Kingdom Phone: +44 (0) 1483 686039 Fax: +44 (0) 1483 686031 Email: w.wang@xxxxxxxxxxxx http://personal.ee.surrey.ac.uk/Personal/W.Wang/ |