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

[Erika Marín-Spiotta]

*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
<http://dukerivercenter.weebly.com/> and will work closely with both River
Center scientists and data scientists of the USGS Center for Integrated
Data Analytics <http://cida.usgs.gov/>. 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 <emily.bernhardt at duke.edu>with subject
line "InformationScienceApplicant"
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