[visionlist] Postdoc position in sensory augmentation: Learning speech through the sense of touch

Max Riesenhuber Max.Riesenhuber at georgetown.edu
Mon Jul 24 21:40:45 -04 2017


I have an opening for a postdoctoral fellow, starting immediately, to
participate in a research project aiming to use fMRI and EEG to optimize
how speech can be learned through the sense of touch (for our ongoing work
in this area, see https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439338).
This new sensory augmentation project is a collaboration between my group
at Georgetown University, Lynne E. Bernstein’s group at George Washington
University, and an industry partner.  Expertise with fMRI is required.
Experience in other relevant areas such as speech perception,
multisensory processing,
EEG, and auditory fMRI is a plus. Applications from members of the
visionlist community interested in the project would be very welcome.

Georgetown University has a vibrant neuroscience community with over fifty
labs participating in the Interdisciplinary Program in Neuroscience, and
interactions with other institutions such as NIH nearby. Georgetown's
campus is located at the edge of Washington, DC, making for attractive
living options.

Interested candidates should send a CV, a brief (1-page) statement of
research interests, representative reprints, and the names and contact
information of three references by email to Maximilian Riesenhuber (
mr287 at georgetown.edu
<https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=mr287@georgetown.edu>).
Review of applications will begin immediately, and will continue until the
position is filled. Informal inquiries are welcome.

-- 
Maximilian Riesenhuber
Lab for Computational Cognitive Neuroscience
Department of Neuroscience
Georgetown University Medical Center
Research Building Room WP-12
3970 Reservoir Rd., NW
Washington, DC 20007

phone: 202-687-9198 * email: max.riesenhuber at georgetown.edu
<https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=mr287@georgetown.edu>
http://maxlab.neuro.georgetown.edu
public key ID 0x8696063709CCE3BB
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