CLOSED Post-Master’s or Postdoctoral Research Associate in Computational Biogeoscience 

Posted: August 27, 2012 in Uncategorized

From: Jitendra Kumar
Date: August 25, 2012 5:39:20 PM EDT
To: undisclosed-recipients:;
Subject: Post-Master’s or Postdoctoral Research Associate in Computational Biogeoscience

We have a Post-master’s/Postdoctoral position open in our group at Oak Ridge National Laboratory. Please encourage any students with the right background and skills to apply. Description of the position is attached below and is available online at
http://www.orau.org/ornl/postdocs/ornl-pd-pm/description.aspx?JobId=12434

Thanks,
Jitu

———————————————————————————————————-
Post-Master’s or Postdoctoral Research
Associate in Computational Biogeoscience
Oak Ridge National Laboratory
Oak Ridge, TN
ORNL12-79-CSMD
Project Description:

The successful candidate will work with a highly diverse team of environmental, ecological, remote sensing, climate, and computational scientists at ORNL, other DOE Labs, the USDA Forest Service, and NASA to perform spatial analysis, landscape characterization, and representativeness analysis; and apply statistical methodologies for pattern recognition and change detection using remote sensing data and Earth System Model (ESM) results. The candidate will work with existing computational algorithms and tools in an Open Source environment as well as design and develop new tools for analysis and integration of field data, model results, and remotely sensed imagery. The candidate will explore new methods for identifying potential threats to forest health in the U.S. and apply spatial analysis techniques to research problems in climate and ecology. The candidate will conduct research and report results in open literature journals,technical reports, and at relevant conferences.

Qualifications:

A Ph.D. or Masters degree in an Earth or environmental science, computer science, or civil or environmental engineering discipline is required. Experience with spatial analysis using GRASS and document preparation using LATEX in a Linux or Unix environment is required. Proven analytical skills using R and/or Python with PostgreSQL, and experience with large scale data analytics are desired. Experience with MPI, parallel algorithm development, C/C++, Fortran, Mercurial, and Trac is preferred but not required. Excellent interpersonal skills for working within a highly diverse team, strong oral and written communications skills, good organizational skills, and high personal motivation are all necessary.

Applicants cannot have received the most recent degree more than five years prior to the date of application and must complete all degree requirements before starting their appointment.

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