A research studentship is available in
Statistics at the University of Reading, supervised by Dr. Richard Everitt
and Prof. Doug Saddy. Funding is for 42 months, covering fees, and with a
tax-free stipend. Note that standard rules concerning EU residency
apply. The studentship is due to start on 1 October 2014, although this is
negotiable.
You will conduct basic research in the area
of Monte Carlo simulation for performing Bayesian inference for
intractable problems, motivated by applications in neuroscience. Neuroscience
is at the beginning of what
should be an intense period of growth.
Earlier this year President Obama announced a large investment in the project
"Brain Research through Advancing Innovative Neurotechnologies"
(BRAIN), which aims to produce a complete map of connections in the human
brain. This is neuroscience's equivalent to the human genome project,
which has revolutionised genetics in the past 10-15 years. This studentship
offers the opportunity to develop new statistical methods for analysing such
data.
You will be based in the Department of
Mathematics and Statistics, but in addition you will work collaboratively work
with members of the Centre for Integrative Neuroscience and Neurodynamics
(CINN). The project offers the scope for personal development to students
who are interested in either methodological or applied statistics.
Further details of the project may be obtained from Dr. Richard Everitt (r.g.everitt@reading.ac.uk).
You should have at least a good 2.1 degree
(predicted or actual) and a background in Mathematical Statistics, with
an interest in Bayesian statistics or Monte Carlo methods and in the
development of innovative approaches to modelling and analysing
complex brain data. Familiarity with a programming language such python, Matlab,
R or C++ is also desirable.
If interested, please apply online at www.reading.ac.uk/pgapply. Note that the
general University requirement for
a lengthy research proposal is not a
requirement for applicants to Mathematics or Statistics. Contact Dr.
Richard Everitt (r.g.everitt@reading.ac.uk) for informal enquiries.
No hay comentarios:
Publicar un comentario