---------- Forwarded message ----------
From: Ghuman, Avniel
Date: Sun, Jun 26, 2016 at 12:10 AM
Applications are invited for an NIH funded postdoctoral position combining eye tracking and intracranial EEG recordings in humans to study the neural basis of face recognition, object recognition, and social and affective perception, at the University of Pittsburgh, USA.
The research will focus on understanding the dynamic neural code that underlies the recognition of faces, bodies, objects, facial expressions, and other social and affective stimuli and how this information guides, and is guided by, eye movements. Of particular interest is how this information is coded in interactive neural circuits at the level of large-scale brain networks. The neural data will primarily be local field potentials/ event related potential from intracranial surface electrodes (electrocorticography, ECoG), cortical depth electrodes, and subcortical depth electrodes in humans in conjunction with eye tracking. There is also the potential for studies involving direct cortical stimulation to assess how neural modulation alters visual perception.
The ideal applicant would hold a Ph.D. in Neuroscience, Psychology, Computer Science, Mathematics, Statistics, Engineering or a related field. Strong technical, computational, and statistical skills are required. Experience with combining eye tracking and electrophysiological data is required (for example, scalp EEG or MEG and eye tracking). Applicants should have a strong track record of publication.
Pittsburgh is consistently ranked the most livable city in America and the neuroscientific community here, particularly at the University of Pittsburgh and Carnegie Mellon University, is both very strong and collaborative.
Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation. For further information or to submit an application, please contact Avniel Ghuman, Ph.D. at ghumana@upmc.edu and see our lab webpage at www.lcnd.pitt.edu<http://www.lcnd.pitt.edu> .
From: Ghuman, Avniel
Date: Sun, Jun 26, 2016 at 12:10 AM
Applications are invited for an NIH funded postdoctoral position combining eye tracking and intracranial EEG recordings in humans to study the neural basis of face recognition, object recognition, and social and affective perception, at the University of Pittsburgh, USA.
The research will focus on understanding the dynamic neural code that underlies the recognition of faces, bodies, objects, facial expressions, and other social and affective stimuli and how this information guides, and is guided by, eye movements. Of particular interest is how this information is coded in interactive neural circuits at the level of large-scale brain networks. The neural data will primarily be local field potentials/ event related potential from intracranial surface electrodes (electrocorticography, ECoG), cortical depth electrodes, and subcortical depth electrodes in humans in conjunction with eye tracking. There is also the potential for studies involving direct cortical stimulation to assess how neural modulation alters visual perception.
The ideal applicant would hold a Ph.D. in Neuroscience, Psychology, Computer Science, Mathematics, Statistics, Engineering or a related field. Strong technical, computational, and statistical skills are required. Experience with combining eye tracking and electrophysiological data is required (for example, scalp EEG or MEG and eye tracking). Applicants should have a strong track record of publication.
Pittsburgh is consistently ranked the most livable city in America and the neuroscientific community here, particularly at the University of Pittsburgh and Carnegie Mellon University, is both very strong and collaborative.
Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation. For further information or to submit an application, please contact Avniel Ghuman, Ph.D. at ghumana@upmc.edu and see our lab webpage at www.lcnd.pitt.edu<http://www.lcnd.pitt.edu> .
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