[MURG] Post or pre-doctoral applied mathematician/statistician/signal processing specialist. (fwd from juan@madeira.physiol.ucl.ac.uk)

[Eugen Leitl]

----- Forwarded message from JuaN <juan at madeira.physiol.ucl.ac.uk> -----

From: "JuaN" <juan at madeira.physiol.ucl.ac.uk>
Date: Mon, 12 Jul 2004 16:55:31 +0100
To: <comp-neuro at neuroinf.org>
Subject: Post or pre-doctoral applied mathematician/statistician/signal processing specialist.
X-Mailer: Microsoft Outlook IMO, Build 9.0.2416 (9.0.2910.0)
Reply-To: "JuaN" <juan at madeira.physiol.ucl.ac.uk>

Departments of Medical Physics, Clinical Neurophysiology and Gatsby

Computational Neuroscience Unit


Post or pre-doctoral applied mathematician/statistician/signal

processing specialist interested in the invention and application of

theoretical methods to elucidate neural data.


Applications are invited for a two year post-doctoral research fellow

or predoctoral research assistant to work in developing mathematical

methods for the imaging and analysis of EEG (electroencephalogram,

brain waves) for two years. The research is at the interface between

applied mathematics, statistics, signal processing, machine learning,

computational neuroscience and clinical neuroscience.


The project involves the development, testing and refinement of

mathematical/statistical tools which can be used for intelligent

analysis of physiological and brain signals. The work is one part of a

broader project in developing Neuroinformatics techniques for EEG. A

library of several hundred EEGs will be acquired and documented, and

made available over the GRID network in the UK and internet. Using

methods in computational neuroscience, a software suite will be

developed for intelligent non-linear mathematical analysis of the EEG.

This will then be tested and refined, in situations like evoked

response activity in migraine sufferers, or for remote analysis of

EEGs from ill babies in neonatal units around the UK.


The post will be based in our interdisciplinary

biophysics/neurophysiology laboratory at the Middlesex Hospital, which

is part of the Department of Medical Physics and Bioengineering,

University College London, and a few minutes' walk from the main

campus. It is in an attractive part of central London, near to Oxford

Street and the West End. The work will be undertaken in collaboration

with Peter Dayan in the Gatsby Computational Neuroscience Unit, UCL,

which is an international centre for computational neuroscience and

machine learning.


Programming, clinical studies and bioengineering support is available

in the research team. The principal work will be to review and study

existing statistical procedures, and then expand and refine them using

real life experimental data. The position is suitable for someone

with a background in Mathematics or Mathematical Physics, who is

interested in the application of new methods to imaging brain

function. Applicants with backgrounds in signal processing,

statistics, computer science, machine learning, or other physical

sciences are also welcome to apply; some biomedical experience would

be desirable. Training in the relevant interdisciplinary areas will be

given.


The salary will be on the RA1A scale Point 4 for 2 years (£21594 pa

including London weighting). There are no nationality restrictions, but

applicants should state if a work permit would be needed.


Details are at http://www.eit.org.uk/advert/job2004.html. Informal

enquiries may be made to Dr. David Holder (d.holder at ucl.ac.uk) or

Peter Dayan (dayan at gatsby.ucl.ac.uk) . Closing date 12/8/04.

----- End forwarded message -----
-- 
Eugen* Leitl <a href="http://leitl.org">leitl</a>
______________________________________________________________
ICBM: 48.07078, 11.61144            http://www.leitl.org
8B29F6BE: 099D 78BA 2FD3 B014 B08A  7779 75B0 2443 8B29 F6BE
http://moleculardevices.org         http://nanomachines.net
-------------- next part --------------
A non-text attachment was scrubbed...
Name: not available
Type: application/pgp-signature
Size: 198 bytes
Desc: not available
Url : http://askja.bu.edu/pipermail/murg/attachments/20040715/ac75c229/attachment.pgp