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PostDoc – Advancement of Neural Decoding of Language

 

A joint postdoctoral research position is available in the Tandon Lab and Seymour Lab at The University of Texas in Houston as part of the newly formed Texas Institute of Restorative Neurotechnology (TIRN) Institute. This unique position will be to lead the demonstration of high-density electrode arrays in animals and humans. This work will generate the highest resolution intracortical data in the fields of semantic and motor processing of speech. The Tandon lab also has over a hundred SEEG data sets for crossanalysis and utilizes other modalities (fMRI, lesional analysis, surface and intracortical stimulation) to complement their language studies.

The selected individuals must have a Ph.D. in one or more of the following: neuroscience, psychology, cognitive science, linguistics, mathematics, electrical engineering or computer science. They must have a strong interest in brain-computer interfaces, animal surgery experience and aptitude, and be able to independently code in any of the following: MATLAB, R or Python. Previous experience in high-density recording systems, decoding algorithms, source localization, or large animal survival surgery is beneficial. The selected candidate will receive additional training in the neurobiology of language, neurotechnology, and clinical trials by splitting their time with Drs. Tandon and Seymour.

 

Positions are funded either via multi-year Institute funding or by NIH funds (U01 and R01). Lab Collaborators include Greg Hickok (UCI), Stanislas Dehaene (NeuroSpin), Nathan Crone (JHU), Simon Fisher Baum (Rice) and Xaq Pitkow (Baylor-Rice); the post-doc will benefit from a close interaction with these experts in the fields of neurotechnology, reading, semantics, speech production, computational neuroscience.

They are expected to be highly motivated, team players with a passion to study cognitive processes using any or all of the various modalities available in the lab – imaging, direct recordings and closed-loop cortical stimulation – in humans. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professional standards and be adaptable. A strong publication record and excellent academic credentials are highly desirable.

 

CONTACT:
Eliana.Klier@uth.tmc.edu
More information @ www.tandonlab.org
More information @ www.seymourlab.org

 

Please click here to see job flyer.

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