Connectionists: PhD Studentship in Machine Learning Available

[Mark Girolami]

A fully funded, industry sponsored, three year PhD studentship (fees &
stipend) is now available, with immediate start, within the Department
of Computing Science at the University of Glasgow which is
internationally recognised for its research and was rated 5 in the 2001
Research Assessment Exercise. 

The proposed PhD will investigate how advanced Machine Learning and
Statistical Pattern Recognition methods may assist in the self-service
environment, particularly using diverse heterogeneous data to make
optimal decisions. Recent theoretical and applied work in Machine
Learning and the application of Bayesian Inference in Machine Learning
(particularly involving kernel methods such as Support Vector Machines,
Gaussian Processes and Relevance Vector Machines) has attempted to
address the problem of combining heterogeneous data to provide an
improved prediction or classification decision. 

It is anticipated that the student will investigate the role that
Machine Learning and Statistical Pattern Recognition can play in
providing possible solutions to this particular problem. This is an
outstanding opportunity to work on a research project with direct links
to industrial issues and work with an international IT company.

Appropriate academic backgrounds include Engineering, Physics,
Mathematics, Statistics and Computing Science. Interested applicants
should contact Dr Mark Girolami (girolami at dcs.gla.ac.uk) in the first
instance for further information regarding this studentship.

Mark Girolami PhD
Bioinformatics Research Centre
Department of Computing Science
A416, Fourth Floor, Davidson Building
University of Glasgow
Glasgow G12 8QQ
Scotland UK

Tel : +44 (0)141 330 8628
Fax: +44 (0)141 330 8627

email : girolami at dcs.gla.ac.uk
http://www.dcs.gla.ac.uk/~girolami/