[ES_JOBS_NET] Postdoctoral Scientist-Micrometeorologist, National Ecological Observatory Network Inc - Boulder, CO

Christine Wiedinmyer christin at ucar.edu
Sun Aug 14 08:00:38 MDT 2016

*Postdoctoral Scientist-Micrometeorologist*
National Ecological Observatory Network Inc-Boulder, CO


The National Ecological Observatory Network Project (NEON™) is a 
National Science Foundation 30+ year project dedicated to understanding 
how changes in climate, land use and invasive species impact ecology. 
For the next three decades NEON will collect a comprehensive range of 
ecological data on a continental scale across 20 eco-climatic domains 
representing US ecosystems. NEON will use cutting edge technology 
including an airborne observation platform that will capture images of 
regional landscapes and vegetation; mobile, relocatable, and fixed data 
collection sites with automated ground sensors to monitor soil and 
atmosphere; and trained field crews who will observe and sample 
populations of diverse organisms and collect soil and water data. A 
leading edge cyberinfrastructure will calibrate, store and publish this 
information. The Observatory includes over 300+ personnel and will be 
the first of its kind designed to detect and enable forecasting of 
ecological change at continental scales.
Reporting to the head of the IS (Instrumented Systems), the IS 
Postdoctoral Micrometeorologist will develop eddy-covariance storage 
exchange (ECSE) data products, including algorithm development, code 
implementation, documentation, and data product preparation. The 
successful candidate will be working with the terrestrial IS team, which 
develops data products for an automated suite of meteorological, 
atmospheric, soil and ecophysiological measurements. The IS Postdoctoral 
Micrometeorologist will implement a crucial portion of the NEON 
eddy-covariance design, directly contributing to making NEON’s flux 
measurements part of a world-class observatory through state-of-the-art 
Develop eddy-covariance storage flux algorithm, documentation and data 
Develop a modular R package with associated documentation (Algorithm 
Theoretical Basis Document)
Co-develop HDF5 datasets for data products
Coordinate ECSE dataflow with the NEON Data Products (DP) and Cyber 
Infrastructure (CI) teams
Develop plans for evaluating and transferring research-grade programming 
into an operational and production framework
Publication of the results in peer-reviewed scientific literature 
PhD in an environmental science field (e.g., biometeorology, ecosystem 
science, micrometeorology, atmospheric modeling) or a related field
Three (3) - Five (5) years of experience in meteorological-related work
Experience with data QA/QC, quantitative uncertainty analyses, and 
time-series analyses
Experience delivering a final product from concept through testing to 
Experience in programming meteorological analyses with diverse types of 
Experience working in a collaborative scientific and/or computing 
Demonstrated ability to communicate effectively in written and oral forms
Ability to apply critical thinking to scientific writing and review
Strong knowledge base of software development PREFERRED EDUCATION, 
Recent PhD graduates may apply (post-doc position)
In-depth knowledge of eddy covariance theory and techniques
Rich experience in eddy flux and storage related data analysis
Skillful programmer in interpreter languages, particularly R programming 
and code packaging
Familiarity with parallel computing and modular Docker workflows
Familiarity with Git version control software and Github for 
collaborative code development Term: This is a term position with work 
scheduled until end of construction, which is anticipated to be December 
29, 2017.
Must have permanent authorization for US employment. NEON, Inc. will not 
provide any kind of visa sponsorship.

This position offers competitive total rewards including 401(k), health, 
vision and dental insurance, generous paid time off and the opportunity 
to work with at an organization with a great mission.
NEON, Inc. is an Equal Opportunity Employer. Women, Minorities, Veterans 
and Disabled Persons are encouraged to apply.

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