Research studentship advert (Sue McCabe )

Subject: Research studentship advert
From:    Sue McCabe  <suem(at)SOC.PLYM.AC.UK>
Date:    Mon, 3 Aug 1998 16:40:57 +0100

Centre for Neural and Adaptive Systems School of Computing University of Plymouth, UK Research Studentship : The development of an integrated model of auditory scene analysis The Centre for Neural and Adaptive Systems investigates computational neural models of major brain processes underlying intelligent behaviour and uses these models to provide inspiration for the development of novel neural computing architectures and systems for intelligent sensory information processing, condition monitoring, autonomous control and robotics. A Research Student is sought by the Centre to participate in its on-going research programme in the area of auditory scene analysis. There are now a number of neural network models which address parts of the general problem, such as auditory streaming, pitch perception and sound localisation, and it is intended to develop a comprehensive model of auditory scene analysis which integrates all these aspects in a way which is consistent with current psychophysical and neurophysiological data. Candidates for the studentship will be expected to hold, or be about to receive, a good Honours or Masters degree in a relevant discipline and should demonstrate a strong interest in the neural network modelling of sensory processing and perception. Candidates should also have or expect to acquire a good working knowledge of fundamental neuroscience principles and good computational modelling skills. The studentship provides tuition fees and maintenance support at a level consistent with UK research council studentships. Additional income may be available through part time teaching. Further details about the Studentship can be obtained by telephoning Dr Sue McCabe on (+44) (0) 1752 232610, or by e-mail to sue(at) Dr Sue McCabe Centre for Neural and Adaptive Systems School of Computing University of Plymouth Plymouth PL4 8AA England tel: +44 17 52 23 26 10 fax: +44 17 52 23 25 40 e-mail: suem(at) Email to AUDITORY should now be sent to AUDITORY(at) LISTSERV commands should be sent to listserv(at) Information is available on the WEB at

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