US Forest Service Research Participation Program

U.S. Department of Agriculture

Athens, GA

FS-2014-RD-200

Project Description:

A postdoctoral research participation project is available with the Southern 
Research Station - Center for Forest Disturbance Science located in Athens, 
GA. 

Global change is accelerating and there is considerable uncertainty 
surrounding effects on ecosystem processes. Predicting the impact of these 
changes will require accurate models of ecosystem processes and these models 
will be essential for guiding land management. The accuracy of these models 
depends on both the quality of inputs and proper scaling of data to inform 
model processes. This project will synthesize and evaluate long-term data on 
ecosystem carbon and nutrients in two southeastern pine forests that are 
required inputs to multiple landscape ecosystem models. In addition to 
assessing data quality assurance and quality control, we will investigate 
whether these data can be scaled appropriately for model use and detect 
issues associated with scale. The applicant will develop skills related to 
spatial and temporal scaling of data and explore the potential influences 
that scaling has on performance within and between models. Based on our data 
synthesis and scaling analysis, we will develop model performance-related 
questions for future ESTCP-Environmental Security Technology Certification 
Program, DoD - Department of Defense topics. This is an opportunity to work 
alongside several federal, state, and private agencies that work cohesively 
to provide quality data and analysis on ecosystem nutrient cycling. For 
instance, we will work directly with DoD (ESTCP) personnel to create model 
evaluation questions for proposed future projects. In addition, the 
applicant will work closely with a federal research assistant that will 
handle data synthesis, database management, as well as metadata development. 
There are opportunities for gaining field work experience alongside the 
scientists and collaborators associated with the project, including 
obtaining their wildland fire red card certification if desired.

Ideal Candidates will:

Have a Ph.D. in a relevant field of research, which may include, forestry, 
ecology, ecosystem ecology, or equivalent environmental field. A M.S. degree 
will be accepted if the applicant can show considerable (2-5 years) post 
graduate experience in ecosystem ecology or ecosystem modeling. 
Have a strong background (course work, thesis/dissertation) in ecosystem 
ecology, ecosystem or environmental science, exceptional data management 
skills, and moderate to advanced GIS skills. The applicant must have 
experience or background in ecological or environmental modeling.
Demonstrate their ability to work independently and in groups.

The applicant must be a U.S. citizen. 

Preferred Skills:

•       Experience or background in: forest ecology, fire ecology, landscape 
ecology, fire or forest management, spatial analysis or spatial statistics, 
general statistics, and soil science. 
•       Familiarity with one or more programming languages, for example, R, 
python, or C++. 
•       Experience or background in landscape ecology. 
•       Field experience is a plus. 

Details:

•       Stipend Amount: $66,000/year with annual increase 
•       Relocation Allowance: $1,000 
•       Length of Appointment: Two years 
•       Travel Allowance: $1,400 
•       Start Date: July 1st, 2014 
•       Number of Positions: 1 
•       Health Insurance Included 
•       Deadline: Until position is filled 

Additional Information:

The program is open to all qualified individuals without regard to race, 
sex, religion, color, age, physical or mental disability, national origin, 
or status as a Vietnam era or disabled veteran. 
The U.S. Forest Service Postgraduate Research Participation Program is 
administered by Oak Ridge Institute for Science and Education.

How to Apply:

Additional information and application materials:
http://www.orau.gov/usfs_rpp/application.htm

Please send the following materials to [email protected] 

•       Application Form 
•       CV/Resume 
•       Letter of interest 
•       Three contact references with name and email 
•       Letters of recommendation are accepted but not required 

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