Connectionists: Post-Doc in Computational Modeling: U of Massachusetts

[Hava Siegelmann]

Postdoctoral Position

Computational Neuroscience, Biological and Beyond Turing Computation

University of Massachusetts, Amherst, collaboration with EPFL Switzerland

Start date: ASAP -- This is a funded position

An immediate opening is available for a Postdoctoral Research Associate 
in the BINDS laboratory of Prof. Hava Siegelmann. The research focuses 
on adaptive memory in neural structures (blocks), complexity computer 
science theory, superior brain-inspired computation, dynamical systems 
and complex systems, and perhaps some novel robotics as a demonstration 
of computational power.

The position will run one year and extended based on performance.

BACKGROUND:

REQUIRED:

High analytical skills -- math or physics, nonlinear dynamics, 
theoretical computer science in the field of higher-class complexity,

perfect programming skills,

Experience in machine learning techniques and neural networks,

DESIRED:

Understanding in human/animal learning,

Some knowledge in human experiments, brain structure and development.

Complex systems, dynamical systems

_

Great communication skills -- both oral and written are musts.

DUTIES: The Postdoc will play a prominent role in a project with Siegelmann.

Applicants should send a CV or resume, statement of research interests 
and the names and contact information for two references to Prof. Hava 
Siegelmann at hava at cs.umass.edu

-- 
Hava T. Siegelmann, Ph.D.
Professor
Director, BINDS Lab (Biologically Inspired Neural Dynamical Systems)
Dept. of Computer Science
Program of Neuroscience and Behavior
University of Massachusetts Amherst
Amherst, MA, 01003
Phone - Grant Administrator -- Michele Roberts:  413-545-4389
Fax:  413-545-1249
LAB WEBSITE: http://binds.cs.umass.edu/

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