Connectionists: Phd position in the Human Brain Project: Principles of Brain Computation and Learning

Wolfgang Maass maass at igi.tugraz.at
Thu May 1 01:59:03 EDT 2014


We are inviting applications for a fully funded Phd position at the Graz 
University of Technology (Faculty for Computer Science) for research on

        Principles of Brain Computation and Learning

in the Human Brain Project https://www.humanbrainproject.eu/
It is planned to combine this Phd position with a part-time position as 
University Assistant, thereby providing the first step for a possible 
university career.

Our Lab in Graz focuses currently on the development of new paradigms 
for probabilistic inference and learning in networks of spiking neurons
(either in brain networks, or in neuromorphic hardware). Preceding 
results on which we will build can be found on
http://www.igi.tugraz.at/maass/publications.html

Excellent research skills, a genuine interest in answering fundamental 
open questions about computation and learning in networks of spiking 
neurons, and the capability to work in an interdisciplinary research 
team are expected.

Applications are especially invited by students who have a strong 
background in a theoretical area related to machine learning, 
computational theory or probabilistic models, and who also have 
substantial experience in programming and computer simulations.
Our doctoral program will lead to a Phd in Computer Science.

Please send your CV, information about your grades, and a letter 
describing your scientific interests and goals by May 21 to my assistant 
Regina Heidinger:

                 regina.heidinger at igi.tugraz.at

It would be helpful if you could include names and email addresses of 
referees, and pdf files of your master thesis and/or other publications.

-- 
Prof. Dr. Wolfgang Maass
Institut fuer Grundlagen der Informationsverarbeitung
Technische Universitaet Graz
Inffeldgasse 16b ,   A-8010 Graz,  Austria
Tel.:  ++43/316/873-5822
Fax   ++43/316/873-5805
http://www.igi.tugraz.at/maass/Welcome.html


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