[Murg] [Neuro-IT] Position of Professor for Bioanalogue Information Processing (fwd from rigoll@tum.de)

[Eugen Leitl]

----- Forwarded message from Gerhard Rigoll <rigoll at tum.de> -----

From: Gerhard Rigoll <rigoll at tum.de>
Date: Thu, 24 Mar 2005 19:14:07 +0100
To: general at neuro-it.net
Subject: [Neuro-IT] Position of Professor for Bioanalogue Information
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 The Technische Universität München invites applications for the 
position of an Associate Professor (W2, tenure-track) for Bioanalogue 
Information Processing in the Faculty of Electrical Engineering and 
Information Technology.

This is a tenure-track position, which can start as soon as possible. 
The successful candidate has an excellent scientific record in 
bioanalogue or
neuronal information processing. He/She should be able to work in an 
interdisciplinary manner and should be competent in several of the
following fields, where biological neuronal systems are investigated 
with an eye to their engineering applications:

. Computational neuroscience,
. Models of information processing in biological systems,
. Modelling of sensory perception and sensorimotor functions,
. Combination and integration of biological and technical systems,
. Computational learning theory.

The candidate is expected to represent the field in research and 
teaching. Munich has an extensive interdisciplinary network for 
neuroscience, into
which the candidate's research should be embedded. There will be a close 
cooperation with the Julius Bernstein Centre for Computational
Neuroscience (BCCN Munich). It is part of a nationwide network, founded 
in 2004 (by the BMBF) to establish a strong collaboration
between experimental and theoretical neurosciences and to initiate 
teaching programs. The successful candidate is expected to develop the
latter in the context of bioanalogue information processing at both the 
undergraduate and the graduate level, including teaching (in English) in
the Master of Science program of Medical Technology.

Prerequisites for the application are a Ph.D., an established research 
record in mathematically modelling neuronal networks, and a strong
research status, at least approaching the level of the German 
habilitation. Scientific qualifications achieved in the private sector 
will also be
considered.

Applications including CV, list of publications, a brief summary of 
present research and future plans, proof of teaching experience, 3 to 5
selected reprints, and copies of relevant documents should be sent 
before 11 April 2005 to the

Dean of the Faculty of Electrical Engineering and Information Technology,
Technische Universität München,
Arcisstrasse 21, D-80333 München, Germany


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Eugen* Leitl <a href="http://leitl.org">leitl</a>
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