Two Postdoc Positions in Machine Learning at Cambridge University

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Zoubin Ghahramani

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Dec 22, 2007, 1:10:16 AM12/22/07
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UNIVERSITY OF CAMBRIDGE

Two Postdoctoral Research Associate Positions in

MACHINE LEARNING


We are seeking two highly creative and motivated postdoctoral
Research Associates to join the Machine Learning Group (http://
mlg.eng.cam.ac.uk) in the Department of Engineering, University of
Cambridge, UK. The research areas for the two positions are:

1. Non-parametric Bayesian methods, approximate inference, and
Bioinformatics

Working with Prof Zoubin Ghahramani, Prof David Wild (Bioinformatics,
Warwick) and Dr Jim Griffin (Statistics, Kent). The successful
candidate should have a Ph.D. in a relevant quantitative field (e.g.
Computer Science, Statistics, Engineering), a strong publication
record in machine learning and Bayesian statistics and a strong
interest in Bioinformatics. A background in MCMC methods, inference
algorithms and nonparametric Bayesian methods is also desirable. The
appointment is for one year initially (renewable) starting March 2008
or as soon as possible thereafter.

2. Graphical Models for Relational Data

Working with Prof Zoubin Ghahramani and Dr Ricardo Silva (Statistics,
Cambridge). The successful candidate should have a Ph.D. in a
relevant quantitative field (e.g. Computer Science, Statistics,
Engineering) and a strong publication record in machine learning,
graphical models and Bayesian statistics. The appointment is for one
year initially (renewable) starting February 2008 or soon thereafter.

Both appointments are funded by the EPSRC, UK. Salary is in the
range £25,134 - £32,796 p.a. Further details and an application form
may be obtained from: http://learning.eng.cam.ac.uk/zoubin/
postdocs08.html.

Applications must be sent by email to Ms Deborah Wade,
dl...@cam.ac.uk, and must include a brief letter of application, a CV
including a list of publications, and names and email addresses of
2-3 referees. Closing date for applications is ** Jan 15th, 2008. **

The University is committed to equality of opportunity

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Zoubin Ghahramani
Professor of Information Engineering
University of Cambridge
http://learning.eng.cam.ac.uk/zoubin/

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