Friday, June 28, 2013

[Comp-neuro] Postdoc/Univ. Assistant position for Machine Learning applications in Neuroscience

I am inviting applications for a Postdoc/University Assistant position
in my team at the Graz University of Technology (Faculty for Computer
Science) for research on

Machine Learning with Applications in Computational Neuroscience.

This position will be partially funded by the EU Flagship Project "Human
Brain Project"
and by the EU-Project BrainScaleS

This Postdoc position can be combined with a half-time position as
University Assistant (Universitäts-Assistent) at the Graz University of
Technology. Such position usually runs for 4 years, involves teaching a
course in Machine Learning, and provides a good entrance stage for a
career as University Professor (including a Habilitation).

One of our goals in Machine Learning is to develop for our collaboration
with leading Labs in Experimental Neuroscience new methods for the
analysis of data, especially for new recording methods such as 2-photon
calcium imaging from hundreds of neurons in vivo over extended periods
of time (even while the animal learns new behaviours).

Another goal of our Lab is to apply methods and insights from Machine
Learning to elucidate through theoretical models and computer
simulations the emergence of computational organization in networks of
neurons in the brain, and to improve our understanding of various
learning processes in the brain on the basis of experimental data from
neuroscience and cognitive science. We have a very active research group
in this area, involving also Prof. Robert Legenstein and several
postdocs and phd students.

Expected qualifications:
Excellent research skills, very good knowledge in Machine Lerning
(including a Phd in a related area), a genuine interest in answering
fundamental open questions about learning processes in the brain, and
the capability to work in an interdisciplinary research team and in the
context of international research projects are expected. Experience in
programming, computer simulations or data analysis will be helpful.

Please send your CV, a list of your publications (and pdf's for
publications that are not freely online available), information about
your grades, a letter describing your scientific interests and goals,
and names and email addresses of referees

by July 7 to my assistant Regina Heidinger:

Prof. Dr. Wolfgang Maass
Institut fuer Grundlagen der Informationsverarbeitung
Technische Universitaet Graz
Inffeldgasse 16b , A-8010 Graz, Austria
Tel.: ++43/316/873-5811
Fax ++43/316/873-5805
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