[info] Connectionists: Postdoctoral Position: Computational neuroscience, neural data analysis, "augmented cognition"

[Eugen Leitl]

----- Forwarded message from Maximilian Riesenhuber <mr287 at georgetown.edu> -----

From: Maximilian Riesenhuber <mr287 at georgetown.edu>
Date: Mon, 26 May 2008 19:29:17 -0400
To: connectionists at cs.cmu.edu
Subject: Connectionists: Postdoctoral Position: Computational neuroscience,
 neural data analysis, "augmented cognition"
User-Agent: Thunderbird 2.0.0.14 (Macintosh/20080421)

Riesenhuber Lab
Department of Neuroscience
Georgetown University
Washington, DC

We have an opening for a postdoctoral fellow, starting immediately, to 
participate in a research project studying the neural mechanisms 
underlying "fast" object recognition using single-trial analysis of 
high-density EEG data, as part of a larger collaborative project aiming 
to develop a real-time neurally-based target detection system combining 
machine and biological vision.

The candidate is expected to take on a main role in the analysis of the 
acquired EEG data and their integration in our computational model of 
object recogntion in cortex, which in turn will influence experimental 
design, with the goal of exploring ways to maximally utilize the brain's 
perceptual processing bandwidth. A strong quantitative background and 
experience in neural data analysis are required. Experience with EEG and 
psychophysics is a strong plus, as is training in biological and/or 
machine vision. Experience with Mac OS X, MATLAB, and C++ preferred. 
This position is also of interest for PhDs in computer science or 
engineering with an interest in moving into computational neuroscience.

The position is for one year, with the option to renew for two 
additional years, given satisfactory performance and available funding. 
Salary is competitive. Candidates need to be US citizens or permanent 
residents.

The project is a collaboration between several companies and 
universities. Our lab investigates the computational mechanisms 
underlying human object recognition as a gateway to understanding 
information processing and learning in cortex.  In our work, we combine 
computational modeling with psychophysical, fMRI and EEG data from our 
own lab and collaborators, as well as with single unit data obtained in 
collaboration with physiology labs. For more information, see 
http://maxlab.neuro.georgetown.edu.

Georgetown University has a vibrant neuroscience community with over 
forty labs participating in the Interdisciplinary Program in 
Neuroscience. Its Center for Functional and Molecular Imaging (of which 
our lab is a member) features a recently upgraded research-dedicated 3T 
scanner and several EEG and NIRS recording systems. Georgetown's scenic 
campus is located at the edge of Washington, DC, one of the most 
intellectual and culturally rich cities in the country.

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). Review of applications will begin immediately, 
and will continue until the position is filled. Informal inquiries are 
welcome.

--MAX

**********************************************************************
Maximilian Riesenhuber                             phone: 202-687-9198
Department of Neuroscience                         fax:   202-784-3562
Georgetown University Medical Center       email: mr287 at georgetown.edu
Research Building Room WP-12
3970 Reservoir Rd., NW
Washington, DC 20007                http://maxlab.neuro.georgetown.edu
**********************************************************************


----- End forwarded message -----
-- 
Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
______________________________________________________________
ICBM: 48.07100, 11.36820 http://www.ativel.com http://postbiota.org
8B29F6BE: 099D 78BA 2FD3 B014 B08A  7779 75B0 2443 8B29 F6BE