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EPSRC DTG PhD studentship
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Location: University of Nottingham, UK
Job type: PhD studentship
Duration: 3.5 years
Project title: Study of explanatory power and information visualisation
for rule-based data mining
Eligible candidates: ordinary resident in UK for the last three years
With funding from the EPSRC Doctoral Training Grant, administrated by
the School of Computer Science at the University of Nottingham, the
project Study of explanatory power and information visualisation for
rule-based data mining invites applications from interested students at
doctoral training level. Data mining and knowledge discovery are crucial
techniques for the progress of many disciplines of science. Recent
developments such as the Genome Project (and its successors) or the
construction of the Large Hadron Collider have provided the scientific
community with vast amounts of data. This data has to be mined to
generate accurate models and, equally important, the models need to be
understandable so they can bring new insight into the data domain. That
is, discovering new knowledge. In this context, rule-based data mining
has a clear advantage, as rules have a much higher explanatory power
when compared to other kinds of knowledge representation. This project
will study how can rule-based knowledge representations be improved to
maximize their knowledge discovery aspect, combining machine learning
and information visualisation techniques.
The student will be based in the Automated Scheduling, Optimisation &
Planning (ASAP) Group, which is one of four main research groups within
the School of Computer Science at Nottingham. The School was ranked 8th
in the country in the last RAE exercice. ASAP has been carrying out
innovative research into the development and investigation of decision
support, search methodologies and machine learning for a wide and
diverse range of real world problem environments for the last 10 years.
The group comprises 12 members of academic staff, 16 researchers, 51
PhD students and 3 administrators.
Students should have at least an upper second-class honours degree
(ideally a first class degree), or a combination of qualifications
and/or experience equivalent to that level. Ideally, students should
have a BSc or MSc degree in computer science.
Due to funding restrictions, this studentship is only available to
students that have been ordinary residents in UK for the last three
years. It provides tuition fees and a tax-free stipend of around 13,000
per annum for 3 years. Please, see
http://www.epsrc.ac.uk/PostgraduateTraining/StudentEligibility.htm for
detailed eligibility criteria.
Informal enquiries may be addressed to Dr J Bacardit, tel: 0115 846 7044
or Email: [log in to unmask]
Applications, with a detailed CV, a research statement and the names and
addresses of two referees, should be sent to Ms D Pitchfork, School of
Computer Science, The University of Nottingham, Jubilee Campus, Wollaton
Road, Nottingham, NG8 1BB. Tel: 0115 846 6543. Email:
[log in to unmask] Please quote ref. SCI/852. Closing
date: 31 July 2010.
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Jaume Bacardit, PhD
Lecturer in Bioinformatics
University of Nottingham
Automated Scheduling, Planning and Optimisation research group,
School of Computer Science, Jubilee Campus, Nottingham, NG8 1BB, UK
Multidisciplinary Centre for Integrative Biology,
School of Biosciences, Sutton Bonington, LE12 5RD, UK
Tel: +441159516276
Fax: +44 1159516292
Email: jaume _dot_ bacardit _at_ nottingham _dot_ ac _dot_ uk
Web: http://www.cs.nott.ac.uk/~jqb
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