Connectionists: Research Jobs in Bayesian Inference and Gaussian Processes

[Dan Cornford]

POSTDOCTORAL RESEARCHERS - 7 POSTS
POSTGRADUATE RESEARCHERS - 4 PhD STUDENTSHIPS
PROJECT MANAGER (part-time)

Applications are invited for these positions, to work on an
exciting and innovative 2 million research project

MANAGING UNCERTAINTY IN COMPLEX MODELS

The MUCM project, funded by Research Councils UK, is a
collaboration between five universities: Sheffield, Aston,
Southampton, Durham, and the London School of Economics.
It is concerned with quantifying and reducing uncertainty in the
predictions of complex models across a wide range of
application areas, including basic science, environmental
science, engineering, technology, biosciences, and economics.
The project is multi-disciplinary, and the unifying theme is a
Bayesian statistical approach to inference.  Applicants are
invited from a wide range of backgrounds, including application
areas, subject to having appropriate statistical skills.

An outline description of the MUCM project, plus further
information about all of these jobs and the application
procedure, can be found at http://mucm.group.shef.ac.uk.

These positions, including the PhD studentships, are available
to candidates of any nationality, to start on 1 June 2006 (or at
an agreed later date).

The postdoctoral research posts are offered for 3 years, but
with the possibility of extension for up to 4 years.  Applicants
should have (or expect to have) a PhD in Statistics or a related
discipline (including Machine Learning), or in a relevant area in
which complex process models are used, but in any case
should have substantial skills in Statistics.  We wish to recruit
researchers of high ability and promise, and can offer very
competitive salaries.

The PhD studentships are for three and a half years.  The
studentships pay tuition fees at home/EU rates plus an
enhanced stipend for living expenses.

The Project Manager post is available for up to 4 years.  The
Project Manager will be a vital part of the team, and will need to
have a university degree, preferably in Statistics or another
numerate field, as well as strong organisational and IT skills.

The closing date for applications for all of these posts is 28
February 2006.