School of Mathematical Sciences, Division of Statistics
University of Nottingham
£24370 to £27428 per annum, depending on skills and experience (£26,629 maximum
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:
Dr Theodore Kypraios
Lecturer in Statistics @ University of Nottingham
This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham.
This message has been checked for viruses but the contents of an attachment
may still contain software viruses which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
You may leave the list at any time by sending the command
to [log in to unmask], leaving the subject line blank.