JOB: Research position (data mining) at University of Bristol

7 views
Skip to first unread message

Peter A. Flach

unread,
Sep 21, 2000, 6:29:17 PM9/21/00
to
[In addition to the post below, we have possibilities for shorter research
visits and for permanent faculty positions -- contact me if you're
interested. ]


===================================================================

RESEARCH ASSISTANT AT DEPARTMENT OF COMPUTER SCIENCE
UNIVERSITY OF BRISTOL

A virtual enterprise for data mining and decision support

===================================================================


About this position:
--------------------
This is an exciting EU-funded project aimed at developing and spreading
the use of data mining and decision support technologies. The virtual
enterprise model is proposed as the dynamic problem-solving link between
data mining and decision support experts on the one hand, and customers in
need of specific solutions on the other. The virtual enterprise is to
function by co-operation of working groups of individuals. Participants in
this projects are 8 leading European Machine Learning research groups
(Bristol, GMD,Jozef Stefan Institute, Leuven, Oxford, Porto, Prague,
Vienna) and 4 data mining companies.

Your task in this project is to apply data mining techniques to datasets
provided by end-users. Possible techniques include inductive logic
programming, Bayesian classification, support vector machines, and other
state-of-the-art data mining methods. The datasets may require further
development of existing techniques in order to deal with characteristics
of the domain. Since various partners will work on the same datasets, the
project will also involve development of a methodology for integrating
rsults from various data mining systems into single solutions (this will
be based on ROC-curves).

The ideal candidate for this project will hold a PhD in a subject related
to data mining. However, we will also consider candidates with other
relevant qualifications, who wish to pursue a doctorate. Relevant
backgrounds include computational logic, statistics, and databases. What
we offer is a stimulating and challenging research environment, with the
possibility to collaborate with many of the foremost European experts in
machine learning and data mining, and to obtain real results on real
datasets.

The appointment is until 31 December, 2002 and is available immediately.
The starting salary is within Grade IA (16,286 GBP - 24,479 GBP) of the
scales for research staff. Applications should be sent by email to Peter
Flach (Peter...@bristol.ac.uk) before 15 October, 2000.


About the group:
----------------
The Machine Learning Research Group at the University of Bristol is a
young, dynamic and rapidly growing research group (at the moment 4 staff,
1 postdoc and 7 research students). We currently co-ordinate the ILPnet2
European Network of Excellence on Inductive Logic Programming, as well as
an EU-funded project on meta-learning, and participate in another large
EU-funded project establishing a virtual enterprise for data mining and
decision support. The group has a strong international orientation and
collaborates with many leading machine learning groups. Our main research
focus includes inductive logic programming, knowledge representation for
inductive learning, meta-learning, and application areas include user
modelling and knowledge discovery. Bristol also runs a successful MSc
course on Machine Learning.

More information about the group, our research and publications, and the
above projects and vacancies can be obtained from our website at
http://www.cs.bris.ac.uk/Research/MachineLearning/ . More information
about our Machine Learning MSc course can be found at
http://www.cs.bris.ac.uk/Teaching/MachineLearning/ .

The Department of Computer Science at the University of Bristol is an
international centre of excellence which scored 5A in the last Research
Assessment. More information about the department can be obtained from the
department's website at http://www.cs.bris.ac.uk/ .


===================================================================

[ comp.ai is moderated. To submit, just post and be patient, or if ]
[ that fails mail your article to <com...@moderators.isc.org>, and ]
[ ask your news administrator to fix the problems with your system. ]

Reply all
Reply to author
Forward
0 new messages