*Computer Programmer for Remote Sensing Applications
*
The Carnegie Institution for Science is a private organization that
conducts basic research for the
benefit of humanity. Carnegie’s Department of Global Ecology (
http://dge.ciw.edu) conducts
research on the interactions among the earth’s ecosystems, land, atmosphere
and oceans, with
the goal of understanding the ways these interactions shape the behavior of
the earth system,
including its responses to future changes.

Carnegie is looking for a computer programmer to join the CLASlite and
Carnegie Airborne
Observatory (CAO) team of the Department of Global Ecology as a full time
staff member.

CLASlite: The CLASlite project (http://claslite.ciw.edu) brings cutting
edge science to
organizations in tropical nations through a highly automated software
system that maps and
monitors forests using satellite imagery.

CAO: The CAO program (http://cao.ciw.edu) combines 3D spectroscopic and
laser imaging with
unique scientific approaches to study, explore, and conserve ecosystems at
large geographic
scales.

Responsibilities

   - Support the software development for CLASlite, incorporating new
   advances in forest monitoring into computer code for operational use.
   - Advance the CAO data processing stream by developing computer code for
   airborne image analysis and information extraction.
   - Provide computer programming support for new and ongoing applied
   research projects utilizing large quantities of spaceborne and airborne
   data.


Qualifications

   - Bachelor's or Master's degree in computer science, engineering, remote
   sensing or a closely related technical discipline
   - Strong proficiency in computer programming (C and Python are required;
   Java, IDL, Matlab, and Perl are preferred as additional capabilities)
   - Experience in programming for geospatial applications
   - Strong communication and collaboration skills

The position will be based at Carnegie’s Department of Global Ecology on
the campus of
Stanford University. Salary will be determined based on experience, and the
position includes a
competitive benefits package.

To apply, please send a cover letter, resume, and contact information for
two references to Dr.
Greg Asner ([email protected]) no later than May 31, 2012; however, the position
may be filled prior
to this date if an appropriate candidate is identified. Feel free to attach
sample code and notes
that you think best demonstrate your skills.

Carnegie is an equal opportunity employer.
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