Postdoctoral Research Fellow:
Cortically-coupled Computer Vision
Columbia University, Department of Biomedical Engineering
The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at
Columbia University has an immediate opening for a Postdoctoral Fellow to
participate in our research program in "Cortically-coupled Computer Vision
(C3Vision)".
The C3Vision program looks to synergistically couple biological and computer
vision systems using a combination of brain machine interfaces, machine
learning and pattern classification, and image understanding within the
context of understanding the advantages and limits of both biological and
computer vision. Applicants should have a background in one, and preferably
several, of the following: machine vision (especially content based indexing
and automated image labeling), machine learning, neural signal processing,
neuroimaging (EEG and/or fMRI), real-time systems design and programming.
LIINC 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. In addition, the C3Vision project includes collaborators at
other academic institutions as well as in industry, and the project involves
both basic and applied research which will ultimately lead to testable
systems.
Interested candidates should send via email their CV, three representative
papers, the names of three references, and cover letter to Prof. Paul Sajda
(ps629 AT columbia DOT edu).
Applications will be considered until April 2008. The position is for one
year, with the option to renew for an additional year, given satisfactory
performance and available funding.
Sunday, March 9, 2008
Postdoctoral Research Fellow: Cortically-coupled Computer Vision, Columbia University, Department of Biomedical Engineering
Bioengineering postdoc at the IBEC Neural Engineering Lab
The Neural Engineering lab at IBEC develops novel multielectrode devices that support large-scale high-throughput extracellular recording and stimulation of neuronal activity in vitro. Our technology has the potential for high impact as a tool to characterise activity in healthy neuronal aggregates as well as to identify novel therapeutic compounds againstepilepsy, depression and Alzheimer’s disease.
Start date: June 1, 2008