The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for several Postdoctoral Research Scientists. Specifically these positions will contribute to our research program focusing on understanding the neural basis for rapid decision making in the human brain and using this understanding to build brain computer interfaces (BCI) for next-generation human-machine interaction.
Our approach leverages multi-modal neuroimaging, including a custom designed simultaneous EEG/fMRI system, to identify spatio-temporal cortical and subcortical networks underlying rapid decision making. Our analysis methods are deeply rooted in machine learning techniques, with a focus on using such techniques to enable single-trial analysis for correlating with decision variables. Applicants should have a background in one, and preferably several, of the following area: machine learning, neural signal processing, neuroimaging (EEG and/or fMRI), decision making, cognitive neuroscience and/or BCI. A Ph.D. in Engineering, Computer Science or Neuroscience is preferred.
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 (email@example.com).
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
351 Engineering Terrace Building, Mail Code 8904
1210 Amsterdam Avenue
New York, NY 10027
tel: (212) 854-5279
fax: (212) 854-8725
IEEE Transactions on Neural Systems and Rehabilitation Engineering
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