[Apologies if you receive multiple times this announcement]
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* PhD Studentship in the University of Nottingham, UK
* Project title: Study of explanatory power and information
visualisation for rule-based data mining
* Funding body: School of Computer Science, University of Nottingham
* Deadline for application: As soon as a suitable candidate is identified
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With funding from 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.
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.
The sucessful 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.
The studentship provides full tuition fees for UK/EU students and a
tax-free stipend of around 13,000 per annum for 3 years. International
students are welcomed to apply if they can cover the difference between
the tuition costs of UK/EU students and their own fees
(http://www.nottingham.ac.uk/fees/2010-11/pgr-fees2010-11.htm#cit).
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/940.
*This studentship will remain open until filled, thus we recommend early
application.*
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