[Comp-neuro] Open position: Scientific Director – "German Neuroinformatics Node" of the INCF

Andreas Herz andreas.herz at bccn-berlin.de
Fri Aug 8 16:08:54 CEST 2008


Open position:

Scientific Director – "German Neuroinformatics Node" of the INCF

The German Neuroinformatics Node (G-Node - see also www.neuroinf.de),
newly instituted at the Ludwig-Maximilians-Universität München (LMU), is a
project funded by the Federal Ministry for Education and Science within
the National Network for Computational Neuroscience (www.nncn.de). G-Node
will facilitate the interaction and collaboration between experimental and
theoretical neuroscientists, both nationally and internationally, in three
key areas: data access, data storage and data analysis; educational and
outreach activities are integral components of the project. G-Node will
cooperate closely with the INCF Secretariat in Stockholm (see also
www.incf.org). In the first 5-year phase of the project, building and
coordinating an electrophysiological databank will be the G-Node's highest
priority. Given its scientific orientation and long-range goals the G-Node
will play an important role in the Bernstein Network and the German
neuroscience community. We are now seeking an experienced neurobiologist
to become scientific director (TVL 15) of the G-Node. The position is
initially set for a five year period, after which a successful candidate
can be granted tenure.

Duties: The Scientific Director provides scientific leadership and
coordinates the projects of the future members in the G-node's team at LMU
Munich, which will include a hardware expert, a data analysis and software
expert, a scientific web-application developer, and a specialist for
neuroscientific outreach, as well as various external partners. In
addition to directing the node, the successful candidate will be given the
possibility to lead an independent research group within his or her field
of expertise, if so desired.

Prerequisites: Candidates ought to have research experience and be
familiar with the state of the art in electrophysiology, data acquisition
and data analysis. Extensive programming experience and broad knowledge of
neurophysiological hardware and software design are desired. Candidates
should demonstrate an interest in open-source solutions for improving
scientific tools and applications, be able to communicate and coordinate,
and have experience in international scientific collaborations.

Contact and further information:
Andreas Herz
LMU Munich
herz at bio.lmu.de



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