[Comp-neuro] EPSRC funded Postdoctoral Research Fellow in Computational and Mathematical Neuroscience
james.rankin at gmail.com
Wed Jul 4 17:22:08 CEST 2018
*Postdoctoral Research Fellow in Computational and Mathematical
Location: College of Engineering, Mathematics, Physical Sciences at the
University of Exeter (Streatham Campus)
Job reference: P62935
Application closing date: *29/07/2018*
Interview date: *10/08/2018*
Salary From £34,520 on Grade F, dependent on knowledge, skills and
This new full-time post is available from *1st October 2018* on a fixed
term contract basis for *2 years*.
The College of Engineering, Mathematics and Physical Sciences, wishes to
recruit a Postdoctoral Research Fellow to participate in the project Neural
oscillator network modelling of auditory stream segregation. This EPSRC
funded post is available from 01/10/2018 for 2 years. The successful
candidate will join the Systems Biomedicine and Dynamical Systems research
groups housed in the recently launched GBP 50m Living Systems Institute at
the University of Exeter. These groups house over 50 researchers applying
mathematical and computation approaches to study problems in neuroscience,
biology and healthcare. The project will benefit from input from colleagues
with expertise in neural networks, bifurcation theory, coupled oscillators
and numerical methods.
The project will involve developing mathematical and computational models
to deepen our understanding of auditory stream segregation. This is a
fundamental process in the auditory system that allows us to separate out
and focus on distinct sound streams (e.g. voices) in a dynamic noisy
environment. This process involves competition in order to resolve
different interpretations of a given environment (e.g. different groupings
of objects). Many aspects of this process are still not well understood,
such as where in the brain segregation of streams is achieved, how the
streams are encoded and the driving neural mechanisms. This project will
develop a biologically motivated model inspired by a broad cross section of
modelling and experimental literature (from anatomical, neurophysiological,
brain imaging and behavioural experiments). The models developed will be
based on networks of coupled neural oscillators. Neural oscillations are
understood to be vital for the encoding of temporal information in auditory
streaming. Dynamical systems theory including bifurcation analysis and
numerical methods will provide the necessary tools to understand the
dynamics of the models developed.
- Candidates with quantitative backgrounds (Mathematics, Physics,
Engineering) and from Neuroscience programmes with a strong computational
component are encouraged to apply.
- Applicants will possess a PhD or equivalent in one of these areas
or a related field. T
- You will also be able to work collaboratively and supervise the
work of others.
- Programming experience in a high-level language (e.g. Matlab,
Python, C/C++) is a must and knowledge of dynamical systems theory is a
- Experience working on interdisciplinary projects involving the
application of mathematical and computational tools to problems in Biology
or Neuroscience will be viewed favourably.
The University offers some fantastic benefits including 41 days leave per
year, options for flexible working, numerous discounts at leading
retailers, onsite gym, cycle to work scheme, sector leading policies around
maternity, adoption and shared parental leave (up to 26 weeks full pay),
paternity leave (up to 6 weeks full pay), and a new Fertility Treatment
Policy; and a stunning campus environment in the heart of Exeter. If you
are not currently in Exeter please have a look at our website for some
further information on what a beautiful part of the country we are based in.
*For further information, please contact Dr James Rankin, email
j.a.rankin at exeter.ac.uk <j.a.rankin at exeter.ac.uk>*
The University of Exeter is an equal opportunity employer. We are
officially recognised as a Disability Confident employer and an Athena Swan
accredited institution. Whilst all applicants will be judged on merit
alone, we particularly welcome applications from groups currently
underrepresented in the workforce.
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