[ES_JOBS_NET] Ecosystem scientist or Information Specialist postdoc for stream macrosystems project

Seeking an innovative information specialist or an ecosystem scientist
with deep experience in information science to help us build the
StreamPULSE data portal for visualizing and analyzing environmental
sensor data from rivers across the United States. We are seeking an
information specialist to create an online data portal and provide data
analysis and visualization support for a continental network of
freshwater researchers supported by major new funding from NSF’s
Macrosystems Program. The successful applicant will be housed within Duke’s River Center and will work closely with both River Center scientists and data scientists of the USGS Center for Integrated Data Analytics.
The ideal candidate will have experience with web design and data
management, familiarity with statistical analysis, and either an
advanced degree or significant work experience. Our new team member will
aid in developing analysis and visualization tools for collating,
exploring and modeling high-resolution chemical and physical sensor data
derived from streams throughout the United States. In addition to
managing data for the team, the successful applicant will help create
associated tools and techniques for training and outreach to a global
network of researchers and freshwater managers and will assist in the
development of educational products that promote a new understanding of
freshwater ecosystems. Familiarity with scientific computing languages
(e.g. R, python) and relational databases (e.g. mySQL, PostgreSQL) is
required. Experience with web development (e.g., proficiency in HTML,
CSS, javascript); the use of web data services (e.g. REST); and an
understanding of data standards for time series observations (e.g.,
waterML) and data formats (e.g., XML, NetCDF, JSON) is preferred.
Significant opportunities exist for independent research in
ecological synthesis, software development or information science
depending upon the applicant’s career aspirations. Salary will be
competitive and we are open to several possible employment possibilities
depending upon applicant preferences (contract based vs. full-time
employment) and experience (technical staff to postdoctoral scholar).
Now accepting applications for a position beginning as early as
October 1, 2015. To apply, send cover letter, resume, and contact
information for three references to Emily Bernhardt with subject line “InformationScienceApplicant”

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