Connectionists: Postdoc/Univ. Assistant position for Machine Learning applications in Neuroscience

[Wolfgang Maass]

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" http://www.humanbrainproject.eu/
and by the EU-Project BrainScaleS
http://brainscales.kip.uni-heidelberg.de/index.html

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:

       regina.heidinger at igi.tugraz.at

-- 
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
http://www.igi.tugraz.at/maass/Welcome.html