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ALLSTAT  July 2011

ALLSTAT July 2011

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Subject:

JOB: Research Associate/Fellow in Statistics - University of Nottingham

From:

Theodore Kypraios <[log in to unmask]>

Reply-To:

Theodore Kypraios <[log in to unmask]>

Date:

Mon, 4 Jul 2011 11:35:07 +0100

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School of Mathematical Sciences, Division of Statistics
University of Nottingham

Research Associate/Fellow
£24370 to £27428 per annum, depending on skills and experience (£26,629 maximum 
without PhD)

This full-time post is available from the 1 October 2011 or as soon as possible 
thereafter and will be offered on a fixed-term contract for a period of six months

*Analysis of Brain MR images within a Bayesian Framework*

Applications are invited for the above post based in the School of Mathematical 
Sciences at the University of Nottingham. The human brain is the most complex 
system encountered in living organisms. It is a network of more than 10e11 
individual nerve cells and 10e16 interconnections. Due to the brainís 
complexity, many aspects of its function remain unclear. Therefore, 
understanding the human brain is considered as one of the great scientific 
challenges of the 21st century.

The successful candidate will work on an exciting project which involves the 
development of i) novel mathematical/statistical models which will ultimately be 
used for reconstruction of neuronal pathways in the brain, as well as, ii) 
state-of-the-art methodology to efficiently estimate the unknown parameters of 
some of the most commonly used models within a Bayesian framework from diffusion 
magnetic resonance imaging (MRI) data.

The successful candidate will be based in the School of Mathematical Sciences, 
but the project will involve collaborating closely with colleagues from the 
Oxford Centre for Functional MRI of the Brain (http://www.fmrib.ox.ac.uk/), as 
well as with colleagues from the Medical School, School of Physics, and the Sir 
Peter Mansfield Magnetic Resonance Centre (SPMMRC) at the University of 
Nottingham who have great expertise in Brain Imaging and Neuroscience. 
Familiarity with Diffusion MRI modelling is desirable, but not essential. The 
person appointed will be expected to contribute to the publication of the 
developed methodology in peer-reviewed statistics journals and the development 
of open-source software. In addition, s/he will have the opportunity to 
integrate into the large and vibrant groups of MRI neuroscience researchers 
across the University.

Candidates must have a PhD (or be near completion) in a branch of statistics or 
computer science or a closely related field and an enthusiasm for 
multidisciplinary research.  Research experience in Bayesian statistical 
modelling is essential, as is experience with programming (preferably Matlab or 
R or C) and computationally intensive methods.  As part of our commitment to 
promoting diversity we encourage applications from women.

Informal enquiries may be addressed to Dr T Kypraios, email: 
[log in to unmask]  Please note that applications sent directly 
to this email address will not be accepted.

Further details can be found at:
http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI1027



-- 
Dr Theodore Kypraios
Lecturer in Statistics @ University of Nottingham
http://www.maths.nott.ac.uk/~tk

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