[Comp-neuro] Research Fellow position University of Leeds/HBP

A postdoctoral Research Fellow position is available for immediate start
at the University of Leeds, UK. The position is funded as part of the
Human Brain Project.

This project focuses on modelling of neural populations using population
density techniques. Population density methods are a powerful statistical
methods that capture and evolve dynamics at the population level directly,
rather than through a large number of neuron point model instances. More
details about this research can be found in recent publications (see
below).

In this project, you will investigate the theoretical foundations of
population density techniques, and apply them in the creation of efficient
numerical algorithms. The resulting software should be usable by
non-experts in large-scale network models.

We are looking for outstanding candidates with a PhD in Physics,
Mathematics, Engineering, Computer Science or related disciplines.  They
are expected to have good mathematical analytic skills, as well as
substantial experience in scientific computation in languages such as
C/C++ or Fortran. A background in computational neuroscience is highly
desirable.

An interest in other activities in the Human Brain project is expected,
and the application of the techniques in large-scale network models is
actively encouraged. You will be expected to interact with other
researchers at the European Institute of Theoretical Neuroscience in Paris
through regular visits.

You will be based in the School of Computing at the University of Leeds.
The School has as research themes 'Applied Computing in Biology, Medicine
and Health' as well as 'Computational Science and Engineering'.

Informal enquiries about this position can be made directly to Marc de
Kamps (m.dekamps@leeds.ac.uk).

The complete advert and application instructions can be found at:
http://tinyurl.com/oxzfqho

The closing date for applications is 30 April 2014.

Relevant publications:
http://dx.doi.org/10.1162/089976603322297322
http://arxiv.org/abs/1309.1654)
http://dx.doi.org/10.1016/j.neunet.2008.07.006


Dr Marc de Kamps
Institute of Aritificial Intelligence and Biological Systems
School of Computing
University of Leeds
Leeds LS2 9JT, UK
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