[vslist] Postdoctoral Position in Computational Vision

Scott sbeardsl@bu.edu
Mon, 11 Feb 2002 12:53:06 -0500


--------------4DD96E3B9023FFBC7D6E93D6
Content-Type: text/plain; charset=us-ascii; x-mac-type="54455854"; x-mac-creator="4D4F5353"
Content-Transfer-Encoding: 7bit


Postdoctoral Position at Boston University: Learning Invariance for
Recognition

A postdoctoral position funded by  NSF is open  immediately for research
in  modeling the neural mechanisms  underlying  learning invariance  in
the  visual  system at several levels of resolution. This  position is
part of a multi-university   research team  (St. Andrews University,
Scotland and the Weizmann Institute of Science Israel) investigating
invariance learning  through  a combination of  computational modeling
and visual psychophysics.

Applicants must have a Ph.D. or equivalent degree.  A strong background
in mathematics, physics, or computer science  and a background in visual
neuroscience  are  required. Experience with computational  modeling  in
vision using  matlab and/or C programming is a plus. The post is for one
year initially, with the possibility  of renewal.  The salary will  be
determined by  the experience-appropriate  level on NIH stipend  scale.
US citizenship is not required.

The successful candidate will join a dynamic and interdisciplinary group
of scientists  performing  cutting-edge  research on  human vision,
using psychophysics, functional a, neurology, and computational
modeling.

Further information about the research environment can be found at our
Website  http://www.bu.edu/eng/labs/bravi/

To apply, please send a  curriculum vitae, representative publications,
and three letters of recommendation to:

Professor Lucia M. Vaina
Boston University, Department of Biomedical Engineering
College of Engineering
44 Cummington  str, Room 315
Boston University
Boston, Ma 02215
USA

tel: 617-353-2455
fax: 617-353-6766

--------------4DD96E3B9023FFBC7D6E93D6
Content-Type: text/html; charset=us-ascii
Content-Transfer-Encoding: 7bit

<!doctype html public "-//w3c//dtd html 4.0 transitional//en">
<html>
&nbsp;
<br><u>Postdoctoral Position at Boston University: Learning Invariance
for Recognition</u>
<p>A postdoctoral position funded by&nbsp; NSF is open&nbsp; immediately
for research in&nbsp; modeling the neural mechanisms&nbsp; underlying&nbsp;
learning invariance&nbsp; in the&nbsp; visual&nbsp; system at several levels
of resolution. This&nbsp; position is part of a multi-university&nbsp;&nbsp;
research team&nbsp; (St. Andrews University, Scotland and the Weizmann
Institute of Science Israel) investigating invariance learning&nbsp; through&nbsp;
a combination of&nbsp; computational modeling and visual psychophysics.
<p>Applicants must have a Ph.D. or equivalent degree.&nbsp; A strong background
in mathematics, physics, or computer science&nbsp; and a background in
visual neuroscience&nbsp; are&nbsp; required. Experience with computational&nbsp;
modeling&nbsp; in vision using&nbsp; matlab and/or C programming is a plus.
The post is for one year initially, with the possibility&nbsp; of renewal.&nbsp;
The salary will&nbsp; be determined by&nbsp; the experience-appropriate&nbsp;
level on NIH stipend&nbsp; scale. US citizenship is not required.
<p>The successful candidate will join a dynamic and interdisciplinary group
of scientists&nbsp; performing&nbsp; cutting-edge&nbsp; research on&nbsp;
human vision, using psychophysics, functional a, neurology, and computational
<br>modeling.
<p>Further information about the research environment can be found at our
<br>Website&nbsp; <a href="http://www.bu.edu/eng/labs/bravi/">http://www.bu.edu/eng/labs/bravi/</a>
<p>To apply, please send a&nbsp; curriculum vitae, representative publications,
and three letters of recommendation to:
<p>Professor Lucia M. Vaina
<br>Boston University, Department of Biomedical Engineering
<br>College of Engineering
<br>44 Cummington&nbsp; str, Room 315
<br>Boston University
<br>Boston, Ma 02215
<br>USA
<p>tel: 617-353-2455
<br>fax: 617-353-6766</html>

--------------4DD96E3B9023FFBC7D6E93D6--