A computational neuroscience postdoctoral position is available at the Nathan Kline Institute for Psychiatric Research under the auspices of a NIH R01 (MPI: Peter Lakatos, Sam Neymotin).


The aim of our project is to develop/utilize computer models of the auditory thalamocortical system to investigate mechanisms and functions of neuronal oscillatory patterns observed in the auditory system in the electrophysiological recordings from Dr. Lakatos' group. The broad goal is to develop a biologically-realistic data-driven computer model of the thalamocortical auditory system that is able to support critical auditory information processing features, with special emphasis on neuronal oscillations. The combined in vivo and in silico results of our project will pave the way for model-driven neuromodulation, offering precise predictions on how to efficiently control biological circuits. Besides modeling, our group also focuses heavily on developing and applying novel signal processing techniques for the analysis of electrophysiological data on multiple spatial scales, from single neurons to ECoG recordings.

Applicants should have a strong background in: computer programming, with demonstrated proficiency in Python and Matlab, analysis of electrophysiological data, development of signal processing methods for neural data, detailed computational modeling of neurons/neuronal circuits using NEURON with Python.


The job will be based at the Nathan Kline Institute (www.nki.rfmh.org ~1 hour north of NYC), but some telecommuting will be allowed. Applicants should contact Sam Neymotin by email (samuel.neymotin@nki.rfmh.org) with a CV and cover letter. The Nathan Kline Institute is an equal opportunity employer.





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