Dear all,
Apologies for the follow-up posting, but please note that the actual
closing date for these two jobs is 31st August (and not 15th, as
originally advertised at the University web-site).
Thanks,
Paul Blackwell.
-------- Original Message --------
Subject: JOB: two postdoctoral RA posts - Sheffield, UK
Date: Tue, 31 Jul 2007 14:18:33 +0100
From: Paul Blackwell <[log in to unmask]>
Organization: The University of Sheffield
To: [log in to unmask]
The Department of Probability and Statistics at the University of
Sheffield seeks to appoint two Research Associates to work on
collaborative, applied, Bayesian statistics projects under the
supervision of Prof Caitlin Buck ([log in to unmask]) and Prof Paul
Blackwell ([log in to unmask]). Informal enquiries may be made to
either supervisor via email. Summaries of the posts follow and more
details and application information can be found at:
http://www.sheffield.ac.uk/jobs/research.html
Post R05458 - NeoCereals
The postholder will develop new Bayesian statistical methodology for the
spatio-temporal modelling of plant, animal and early human dispersals.
You will work with archaeobotanists to tailor and apply these methods to
modelling the spread of Neolithic cereal agriculture in Europe and help
to identify which material from the archives will lead to the most
cost-effective improvement in our inferences. The successful applicant
will have a strong mathematical background and experience in developing
tailored statistical models for complex applied problems. Applicants
should have a PhD (or equivalent experience) in statistics or a related
discipline (or should expect to submit a thesis for PhD before 31
December 2007), as well as familiarity with at least one programming
language (eg Matlab, R, C, Mathematica). This post is available from 1
January 2008 (or slightly earlier/later by arrangement) for three years.
Post R05459 - IntCal
The postholder will develop novel Bayesian statistical methods for the
estimation of radiocarbon calibration curves from data with complex and
highly correlated error structures. You will extend the range of error
structures, and hence data sources, that can be incorporated into
calibration curves, and develop an efficient implementation based on
Markov chain Monte Carlo techniques. The successful candidate will have
a strong mathematical background and experience developing and
implementing tailored statistical models for complex applied problems.
Applicants should have a PhD (or equivalent experience) in Statistics or
a related discipline (or expect to submit a thesis for PhD before 31
December 2007), as well as familiarity with at least one programming
language (eg Matlab, R, C, Mathematica). This post is available from 1
January 2008 (or slightly earlier/later by arrangement) for three years.
--
Professor P. G. Blackwell
Dept. of Probability & Statistics, University of Sheffield
Tel. +44 114 2223719; http://paul-blackwell.staff.shef.ac.uk/
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