[Comp-neuro] Postdoc Position Available - Human Intracranial Electrophysiology
Oscar.Woolnough at uth.tmc.edu
Tue Nov 7 17:23:53 CET 2017
Postdoctoral Research Positions Available
Postdoctoral research positions are available at the NeuroImaging and Electrophysiology Lab (www.tandonlab.org) in the Department of Neurosurgery at the University of Texas Medical School in Houston. One position is funded by a recently awarded BRAIN Initiative U01 grant. The project uses electrocorticographic (ECoG) recordings to evaluate psycho-linguistic models of reading and speech production to create network level representation of language. Collaborators on the project with whom the post-doc will work closely are Nathan Crone (Hopkins), Greg Hickok (UCI), Stanislas Dehaene (College de France), Xaq Pitkow (Baylor) and Josh Breier (UT Houston). A second position is internally funded and will use existing ECoG data, electrical cortical stimulation mapping data and lesional analysis to probe the relationship between electrophysiology and causality.
This is a project brings together multiple modalities - intracranial EEG (iEEG) recordings, fMRI, lesional analysis, brain mapping and computational neuroscience to better understand the uniquely human behaviors of reading and speech production. More details about the U01 grant are online at NIH Reporter; details about the lab are at www.tandonlab.org. The post-docs will benefit from a close interaction with several expert collaborators in the fields of reading, semantics, and speech production.
The selected individuals are expected to be highly motivated, team players with a passion to study cognitive processes using direct recordings in humans. He or she will be responsible for 1) optimizing and refining paradigms for use in the project, 2) data collection in the epilepsy monitoring unit and in the MRI scanner, 3) ECoG, cortical mapping and lesional data analysis using analysis pipelines existent in the lab and via the development of innovative strategies, and 4) data presentation at conferences, manuscript and grant writing.
The selected individuals must have a Ph.D. in one or more of the following - neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis or functional imaging studies of reading or language production is highly desirable. Crucial is the ability to independently code in either or all of the following – MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individuals must possess high ethical and professional standards. The individuals must possess the ability to work effectively independently, yet collaborate effectively on projects with multiple investigators. Publication records and prior academic credentials may also factor into hiring decisions.
If you are interested, please email nitin.tandon at uth.tmc.edu<mailto:nitin.tandon at uth.tmc.edu> or call (713) 500-5475.
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