Biological technician in forest ecophysiology

Chris Maier cmaier at rtpmail.emapfhm.gov
Tue May 20 13:48:53 EST 1997


EARLY JOB ALERT


The U.S.D.A. Forest Service, Forest Soil Productivity Research Work Unit,
Southern Research Station, in Research Triangle Park, NC anticipates an
opening for a Biological Technician at the Southeast Tree Research and
Education Site (SETRES).  SETRES is a long-term productivity research site
investigating the effects of soil nutrition, moisture and air-borne
chemicals on loblolly pine growth and physiology.


Position: Biological Technician (GS-404-7/9), 2-year term position
Location: Southeast Tree Research and Education Site, Marston, NC.
Salary: 25,341 to 31,000 per year
Starting Date: August 1, 1997
Contact: Chris A. Maier (919-549-4092), e-mail: cmaier at rtpmail.emapfhm.gov


Duties: The successful candidate will be responsible for daily operations
at SETRES.  Duties include, but are not limited to, maintaining and running
an elevated CO2 experiment; assisting Forest Service and University
scientists with measurements of plant physiology, phenology, and soil
processes; maintaining an environmental monitoring system and environmental
data base management; performing quality control and assurance checks and
prepares quality control/assurance reports; conducting instrument
calibrations and maintenance (infrared gas analyzers, relative humidity
sensors, temperature sensors, TDR, flow meters, etc...); performing data
summaries and preliminary statistical analysis; helping maintain base
experimental treatments (nutrition and moisture); and coordinating
logistics for research activities of several Forest Service and University
Scientists.


Qualifications: Prefer MS degree in forest biology, soils or ecology.  A
candidate with a BA/BS and suitable experience will be considered.  The
candidate should have a strong background in physical or biological science
with an interest in plant ecophysiology, ecology, forest soils, biophysics,
and/or forest micrometeorology.  Experience in statistical analysis
computer programming is helpful.





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