AcademicFrom: giles.oatley@sunderland.ac.ukDate: 07 Nov 2002 Subject: PhD Studentship in Data Mining, at Sunderland, UK EPSRC CASE PhD Studentship in the School of Computing & Technology in the area of state of the art data mining. The School of Computing & Technology draws together the disciplines of Computing, Mathematical Sciences, Engineering and Technology. The school has a strong and growing research profile with 6 EPSRC, more than 7 EU-funded and 6 commercially sponsored projects and over 100 registered research students. In collaboration with Diagnostics Solutions Ltd the School is looking to recruit a student, to take up a three year, full-time, EPSRC CASE PhD studentship starting in the Autumn of 2002. The candidate will be expected to perform leading edge research into intelligent techniques for plant maintenance & reliability with some use of handheld-computer data collection. Diagnostics Solutions Ltd are a leading edge condition monitoring company based in Chester. Applicants will have at least a first class or good second class honours degree in Computing or relevant area and experience of programming in a high level language or statistical techniques would be an advantage. If applicants are not first language English speakers they should have at least IELTS6/TOEFL550 English language profficiency scores. For informal discussions in advance of submitting an application, applicants may get in touch with Dr. Giles Oatley (giles.oatley@sunderland.ac.uk, 0191 5153222). Informal enquiries about any studentship may be made to Dr. Chris. Bowerman (Principal Lecturer in Research Student Management) Tel 0191 5153629, email chris.bowerman@sunderland.ac.uk. The award for the studentship covers fees and a bursary of �8000 per annum for a maximum of three years for UK students, and fees only for non-UK EU nationals. If you have the knowledge and abilities to match our requirements then please submit your full CV with a letter of application quoting "CNA4" to Valerie Cornell, Informatics Centre, School of Computing, & Technology, St Peter's Way, Sunderland, Tyne & Wear, SR6 0DD or valerie.cornell@sunderland.ac.uk Closing Date 18/11/02 |
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