[MURG] Lecturer/Readership Computational Neuroscience (fwd from mvanross@inf.ed.ac.uk)
Eugen Leitl
eugen at leitl.org
Wed Nov 17 14:41:06 EST 2004
----- Forwarded message from Mark van Rossum <mvanross at inf.ed.ac.uk> -----
From: Mark van Rossum <mvanross at inf.ed.ac.uk>
Date: Wed, 17 Nov 2004 13:14:28 +0000
To: comp-neuro <comp-neuro at neuroinf.org>
Subject: Lecturer/Readership Computational Neuroscience
X-Mailer: Evolution 2.0.2 (2.0.2-3)
Reply-To: Mark van Rossum <mvanross at inf.ed.ac.uk>
The School of Informatics invites applications for a permanent
appointment to a Lectureship or Readership in Neuroinformatics, with a
focus on Computational Neuroscience. The lecturer/reader position is
comparable to assistant/associate professor positions in North
America.
We are particularly interested in candidates engaged in computational
modelling at any level including cognition, and those who combine
experimental approaches with computational modelling.
You should be able to demonstrate an outstanding research record and
commitment to excellence in teaching. You will be based in the
Institute for Adaptive and Neural Computation (www.anc.ed.ac.uk). You
will be expected to play a key role in the EPSRC/MRC Doctoral Training
Centre in Neuroinformatics that is hosted within the School. This
interdisciplinary training programme encompasses computational and
cognitive neuroscience, software systems and tools to support
neuroscience research and neurally inspired systems including
neurorobotics and neural engineering. You will be expected to develop
collaborative links and joint activities both nationally and
internationally.
For more information and how to apply see www.jobs.ed.ac.uk (ref 3001331)
Deadline: Jan 21 2005.
Informal inquiries to Dr Mark van Rossum, mvanrossATinf.ed.ac.uk
Dr Chris Williams will be present at NIPS and will also be able to
provide information.
Note that a fellowship in the same field is also available (ref 3003115).
----- End forwarded message -----
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Eugen* Leitl <a href="http://leitl.org">leitl</a>
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