[Comp-neuro] Postdoctoral position in computational/theoretical neuroscience

oschwart at aecom.yu.edu oschwart at aecom.yu.edu
Mon May 5 15:55:45 CEST 2008

Postdoctoral position in computational/theoretical neuroscience

A postdoctoral position is available in the lab of Odelia Schwartz
at the Albert Einstein College of Medicine in New York City.

Our lab employs tools of computational and theoretical neuroscience, to
study systems from the neural level through to perception and behavior.
For example, we develop models of sensory processing based on the
hypothesis that images and sounds have predictable and quantifiable
statistical regularities to which the brain is sensitive. The models are
constructed through interplay with physiological and psychophysical data.

Example projects: (1) Learning the statistical structure of
natural scenes, movies, and eye movement sequences; (2) Modeling
how neural populations are affected by contextual information:
spatially, what surrounds a given feature or object; and temporally,
what has been observed in the past, i.e., adaptation. (3) Modeling
hierarchical neural processing.

For more information about the lab and recent publications, see:

The candidate should have a Ph.D. in a relevant discipline, a strong
quantitative background, and an interest in neuroscience. Prior experience
would ideally include areas such as computational neuroscience, machine
learning, statistics and/or signal processing.

Albert Einstein College of Medicine (AECOM) offers a vibrant
interdisciplinary environment, with a growing systems and computational

AECOM is located in a quiet neighborhood of New York, only a short
subway ride from Manhattan.  Information about working at the AECOM,
including housing for postdocs, can be found at:
Initial appointment is for one year and renewable.
Salary is competitive and will commensurate with experience.

Please send inquiries; or a CV, short statement of research interests,
and names and contact information of 3 references to:

Odelia Schwartz
oschwart at aecom.yu.edu

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