PhD research studentship in Predictive Modelling with Streaming Data (Bournemouth University, UK)

[Indre Zliobaite]

PhD Studentship
Smart Technology Research Centre / Computational Intelligence Research
Group

School of Design, Engineering and Computing, Bournemouth University,
United Kingdom

Applications are invited for a 3 year, fully funded PhD research
studentship to work on a project entitled "Handling Multiple Adaptive
Elements in Predictive Modelling with Streaming Data". This project,
while fully funded by the Bournemouth University, will be executed in
the framework of a large EU funded INFER project (www.infer.eu).

Adaptive learning in data mining is of increasing importance as more
data is organized in the form of streams rather than static databases
and is expected to evolve over time. As data is changing, predictors
need to be able to update themselves automatically, otherwise, as time
passes, they will become inaccurate and thus useless. The proposed
project will focus on how to make the prediction models automatically
adaptive to changes. This project aims to develop such integrated
adaptive/learning algorithms and approaches working on different time
scales from real time adaptation to life long learning and
optimisation within multi-component, multilevel predictive systems
developed as part of the INFER project.

The student will be joining the Computational Intelligence Research
Group within the Smart Technology Research Centre and will be
primarily based in the School of Design, Engineering & Computing in
Bournemouth but will also be required to frequently visit and work at
our commercial partners' labs (REC in Poland and Evonik Industries in
Germany) providing an outstanding opportunity to gain a diverse
experience of both academic and commercial environments.

The studentship carries a basic remuneration of £13800 pa tax-free and
a waiver of the full-time research student fee. There are no
restrictions on the nationality of the applicants and the selection
will be based on the candidate's qualifications and experience.

Applicants should have a very strong mathematical background and hold
a first or upper second class honours degree or equivalent in computer
science, mathematics, physics, engineering, statistics or a similar
discipline. Additionally the candidate should have strong programming
experience using any or combination of C++, Matlab or Java.

For further details please contact Prof Bogdan Gabrys, e-mail:
bga...@bournemouth.ac.uk or visit the following www pages:
http://dec.bournemouth.ac.uk/research/studentships/pdfs/2011/gabrys2.pdf
.

Interested candidates should follow the application procedure listed
on the Bournemouth University web pages:
http://www.bournemouth.ac.uk/research/studentships/how_to_apply.html.
Further details concerning the studentship and application procedure
can be also obtained from the Graduate School Manager - Dr Fiona
Knight, Email: graduat...@bournemouth.ac.uk.