Connectionists: 2 postdoctoral positions in Machine Learning and Computational Biology at Royal Holloway University of London

[Alberto Paccanaro]

Applications are invited for two postdoctoral positions at the 
Department of Computer Science of Royal Holloway, University of London.

The postdocs will work with Alberto Paccanaro on developing novel 
approaches to protein function prediction. Candidates should have a 
Ph.D. in a relevant quantitative field (e.g. Computer Science, 
Statistics, Engineering), and a strong background in machine learning. 
An interest in graph-based semi-supervised learning methods would be an 
asset for these positions.

The successful candidates will have the opportunity to collaborate with 
several faculty members in the School of Biological Sciences at Royal 
Holloway, including: Laci Bogre, Alessandra Devoto, Peter Bramley, Paul 
Fraser, Enrique Lopez and Paul Devlin. The posts are therefore ideal for 
someone with a computer science or maths background who is looking to 
move into computational biology.

The Department of Computer Science at Royal Holloway has a leading 
position in the study of theory and practice of machine learning and in 
particular the development of the Support Vector learning technique and 
other kernel-based techniques. The Department is located on Royal 
Holloway's pleasant campus (see http://www.rhul.ac.uk/), in Egham, close 
to London.

The positions are for 3 years, beginning in the Spring or Summer 2008. 
The starting salary will be of 33,974 GBP p.a. (about 70,330 USD), with 
annual increments. Both positions are funded by the BBSRC, UK.

Applicants should send a CV including a list of publications, a 
statement of research interests, and names and contact information of 3 
referees electronically to alberto at cs.rhul.ac.uk

If you wish to discuss details of the position, please contact Alberto 
Paccanaro at the same address.
Alberto will also be available to meet at the NIPS conference next week.

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Alberto Paccanaro
Department of Computer Science
Royal Holloway, University of London
EGHAM, TW20 0EX
UK

Phone: +44 1784 414239
Fax:   +44 1784 439786
Homepage: www.cs.rhul.ac.uk/~alberto