[Comp-neuro] Postdoctoral Positions in BCI for enabling shared human-machine autonomy

Paul Sajda psajda at columbia.edu
Thu Jun 26 18:02:26 CEST 2014

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for two Postdoctoral Research Scientists interested in investigating the use of  brain computer interfaces (BCI)  for enabling shared human-machine autonomy.  This research effort is a joint project with the Army Research Lab (ARL) and will focus specifically on measuring cognitive state of individuals engaged in an image search task in cooperation with a semi-autonomous computer vision system. Successful applicants will have a background in machine learning, exemplar based computer vision systems and brain computer interfaces.  An interest and/or background in building mobile systems, Android programming and experimenting with Google Glass is also a plus.  A Ph.D. in Engineering, Computer Science or Neuroscience is preferred.  One position will be full time at Columbia University and the other will be a shared position which will be half time at Columbia and half time at ARL/Aberdeen MD.  The shared postdoctoral position requires US Citizenship. 

LIINC (liinc.bme.columbia.edu) is in the Department of Biomedical Engineering at Columbia University and interacts closely with other departments at Columbia, including Electrical Engineering, Biological Sciences, Computer Science and Neuroscience. We are also a member lab of the newly formed Center for Neural Engineering and Computation (CNEC) at Columbia University (cnec.columbia.edu) as well as the Institute for Data Sciences and Engineering (idse.columbia.edu).  Additionally, we are a member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which a collaborative research effort between the Army Research Labs, Academia and Industry.  Postdoctoral Research Scientists will thus have the opportunity to broadly collaborate will other scientists in  academia, industry and government, being part of one of the largest collaborative programs in real-world neuroimaging and brain computer interfaces.

Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda at columbia.edu). 

Applications will be considered until the positions are filled. The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. 

Paul Sajda, Ph.D.
Departments of Biomedical Engineering,
Electrical Engineering and Radiology 
Columbia University
351 Engineering Terrace Building, Mail Code 8904
1210 Amsterdam Avenue
New York, NY 10027
tel: (212) 854-5279
fax: (212) 854-8725
email: ps629 at columbia.edu

IEEE Transactions on Neural Systems and Rehabilitation Engineering
email: editortnsre at gmail.com

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