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Associate Research Scientist in the Mortimer B. Zuckerman Mind Brain Behavior Institute

Employer
The Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University in the City of NY
Location
New York City, New York (US)
Salary
comprehensive benefits package / salary commensurate with experience
Closing date
Sep 13, 2019

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Discipline
Life Sciences
Job Type
Research Scientist
Organization Type
Academia

Columbia University’s Mortimer B. Zuckerman Mind Brain Behavior Institute (the Zuckerman Institute) brings together researchers to explore aspects of mind and brain, through the exchange of ideas and active collaboration. The Zuckerman Institute’s home will be the Jerome L. Greene Science Center on Columbia’s new Manhattanville campus. Situated in the heart of Manhattan, at full capacity the Zuckerman Institute will house approximately 47 laboratories employing a broad range of interdisciplinary approaches to transform our understanding of the mind and brain. In this highly collaborative environment, labs work together to gain critical insights into human health by exploring how the brain develops, performs, endures and recovers from trauma or disease.

 

A lab within the Zuckerman Institute seeks an Associate Research Scientist (ARS) to facilitate research in exploration of human speech communication. The candidate will be working on identifying the representational and computational characteristics of the brain regions and biological neural networks involved in naturalistic speech communication, and integrating these attributes into novel mathematical models. The aim of this research is to our knowledge of how the brain extracts and processes information, and to close the performance gap between biological and artificial computing.

 

The ideal candidate will have expertise in auditory neuroscience, computational modeling, and speech processing technologies, as well as superior motivation, drive and demonstrated aptitude for research.

 

Minimum Qualifications

 

MD, PhD, or doctorate in related field

 

The ideal candidate will have expertise in auditory neuroscience, computational modeling, and speech processing technologies, as well as superior motivation, drive and demonstrated aptitude for research. Strong candidates will be interested and focused on interdisciplinary work.

 

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