As this research will be performed in collaborative fashion between the
Institute of Mathematics and Statistics-USP (Sao Paulo, SP, Brazil) and the
Institute of Physics at Sao Carlos-USP (Sao Carlos, SP, Brazil), it is
expected that the post-doc investigator will be willing to travel between
those two places in a regular fashion (about 230Km). The opportunity will be
developed in the context of a FAPESP
Thematic Project
(
http://www.vision.ime.usp.br/~cesar/projects/tematico04/). It
is expected that the interested candidates have background in programming,
graph theory and multivariate statistics.
The idea behind the project is
to develop a methodology and software services to support biologists to
extract and organize meaningful knowledge from large non-structured databases
such as the WWW.
Thegeneral foreseen framework is to use some standard query
engine such as Google to collect an initial (potentially large)
multimedia database (html, pdfs, images, videos, etc) in an exploratory way.
The collected material should then be organized by using
knowledge extraction tools from non-structured data, including
text-mining, computer vision and pattern recognition tools.
The system
should provide an output material that summarizes the collected
data, including user-friendly visualization tools. The system should
explore open-source softwares and libraries as much as possible.
Multidisciplinary collaboration with biologists will be carried out during
the project development.
Fellowship: R$54K/year (Brazilian real) (approx
$26K/year (US dollar)) plus R$16K/year bench fees to support the research
(approx $8K/year (US dollar))
The postdoctoral program should last two
years. The application deadline is July 30, 2009. The documents required are:
Cover letter, CV, list of publications, summary of the doctoral thesis and
two letters of recommendation. Documents will be attached, by email
to:
Roberto M. Cesar Jr.:
roberto.cesar@vision.ime.usp.brSubject:
Post-doc application: structural pattern recognition
Any questions about
this opportunity, please contact the coordinator in the email above.
Keywords: Computer vision, Pattern
Recognition, From data to knowledge, WWW, Complex
networks