Overview
The National Ecological Observatory Network (NEON, Inc.) is a nonprofit 
science corporation dedicated to understanding how changes in climate, 
land use and invasive species impact ecology. Currently under design is 
the NEON project - an observatory comprising more than 60 environmental 
and biological monitoring locations distributed throughout twenty domains 
across the United States, Hawaii, Alaska & Puerto Rico.  The observatory 
network will be the first of its kind designed to detect and enable 
forecasting of ecological change at continental scales over multiple 
decades.

Term of Position
This position will be funded for three years.
Position Summary
The Fundamental Instrument Unit (FIU) consists of an automated suite of 
meteorological, atmospheric, soil and ecophysiological measurements.  The 
position will support Science project development and management 
activities. 
The FIU employs tower-based micrometeorological data products (incl. eddy 
covariance).  Sources of uncertainties can be identified from flow 
statistics, topography, and land cover (source/sink strengths).  To assure 
the data quality and control of these data, this position will develop 
procedures that will combine the traditional data quality assessment with 
topography, land cover, and analytic footprint modeling. 
 Essential Duties and Responsibilities:
•       Coordinate, design and execute innovative airshed analyses,
•       Develop FIU data quality assurance, quality control procedures, 
and uncertainty analyses,
•       Coordinate FIU dataflows with other related NEON groups,
•       Develop plans for evaluating and transferring research-grade 
programming into an operational and production framework

Required Experience:
•       1-3 years experience in meteorological-related work,
•       Experience with quantitative uncertainty analyses and time-series 
analyses,
•       Experience delivering a final product from concept through testing 
to completion,
•       Experience in programming meteorological analyses with diverse 
types of datasets
•       Experience working in a collaborative scientific or engineering 
enterprise, and
•       Demonstrated ability to communicate effectively in written and 
oral forms

Education:
•       Doctoral degree in an environmental science field (e.g., 
biometeorology, ecosystem science, micrometeorology) or a related field.
•       Recent PhD graduates may apply (post-doc position).

Preferred Experience:
•       Working at the synoptic to local scale
•       Some work experience with production data flows 
•       Knowledge of a wide range of meteorological related sensors, and 
measurement techniques and their associated data acquisition and analysis 
procedures,
•       Design of data visualization tools,
•       Ability to develop the dataflow designs for different and 
contrasting data types.

 Skills and Abilities:
•       Critical thinking, scientific writing and review,
•       Ability to travel (infrequently), plus travel to conferences
•       Quantification of spatial and temporal variation of data quality 
properties and processes
•       Understanding of micrometeorological processes and ecosystem 
modeling,
•       Demonstrated problem-solving and communication skills, and who can 
successfully apply experience, judgment, and creativity to both short- and 
long-term challenges, 
•       One who can create new opportunities within this field and use 
novel methods, analyses and approaches to tackle continental-scale 
research.
•       Desired knowledge base of both instrument hardware and software 
development.

To Apply:
Documents to include, Curriculum Vitea and Cover Letter: In your cover 
letter, please include your experience with meteorological modeling, 
program testing, program languages, and any relevant field experience. 

Apply to www.neoninc.org 

NEON Inc. is an Equal Opportunity Employer. Women, Minorities, Veterans 
and Disabled Persons are encouraged to apply. 

Reply via email to