[Comp-neuro] Post-doctoral position in the area of Neuroscience and AI, Kyoto University, Japan

Hideaki Shimazaki h.shimazaki at i.kyoto-u.ac.jp
Tue Nov 7 14:34:55 CET 2017

A postdoc opportunity in the area of Neuroscience and AI is available
at Kyoto University in Japan

The lab of ‘cooperative intelligence’ was launched in the Dept. of
Intelligence Science and Technology at Kyoto University in Japan since
April 2017. This is a part of collaborative research activities
between the department and Honda Research Institute Japan Co. Ltd.
toward realizing a better society with humans and machines living

In order to achieve this goal, our group strives to understand
theoretical principles of organisms’ perception and behavior in
adapting to environment, and apply these principles to machines. We
aim at strengthening computational and statistical approaches to
neuroscience (See references below) and extend the knowledge to create
intelligent machines. A postdoc position is available for this
research area.

Our lab is located in a historic building at the main campus of Kyoto
University. Kyoto is one of the oldest cities in Japan with a full of
historic monuments. The academic and culturally rich environment of
Kyoto is suitable for conducting creative research activities.

Place: Dept. of Intelligence Science and Technology, Graduate School
of Informatics, Kyoto University
Period: Present - 2020/3/31
Deadline of application: 2017/11/30

Please check the following URL for further information:

To apply, please send a CV, a statement of research interest (maximum
2 pages), and contact information of two references to
h.shimazaki at i.kyoto-u.ac.jp. Feel free to send any informal questions
regarding this post.


Hideaki Shimazaki, PhD
Program-specific Associate Professor at Kyoto University
Senior Scientist at Honda Research Institute Japan

Email: h.shimazaki at i.kyoto-u.ac.jp
Lab webpage: http://ci.ist.i.kyoto-u.ac.jp/index.php?id=10
Personal webpage: http://www.neuralengine.org

Donner C, Obermeyer K, Shimazaki H. Approximate inference for
time-varying interactions and macroscopic dynamics of neural
populations. PLoS Computational Biology (2017) 13(1): e1005309

Shimazaki H. Neurons as an Information-theoretic Engine.
arXiv:1512.07855 (2015) (to appear as 'Neural Engine Hypothesis' in
Ed. Chen and Sarma 'Dynamic Brain', Springer.)

Shimazaki H, Amari S, Brown EN, and Gruen S, State-space analysis of
time-varying higher-order spike correlation for multiple neural spike
train data. PLOS Computational Biology (2012) 8(3): e1002385

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