[ES_JOBS_NET] Postdoc Researcher, hydrologic forecasting, NCAR (RAL), Boulder, CO

Christine Wiedinmyer christin at ucar.edu
Thu Oct 9 08:55:00 MDT 2014

Official Job posting:

*Postdoc Researcher*
UCAR-Boulder, CO
PLEASE NOTE : This is a new, full-time, one-year term position with 
possibility of extension. Initial consideration will be given to 
applications received prior to 4:00 p.m. on Tuesday, October 14, 2014. 
Thereafter, applications will be reviewed on an as-needed basis.

NCAR - Research Applications Laboratory (RAL)

Basic Function of Job: Contributes to research on the application of 
advanced hydrologic prediction science to produce retrospective and 
real-time streamflow and hydrologic forecasts for watersheds across 
CONUS. This work will increase understanding of the strengths and 
limitations of automated streamflow forecasting given current weather 
and climate forecasts, datasets, and techniques for meteorological 
forecast downscaling, hydrologic modeling and data assimilation. The 
person hired for this position will contribute to efforts to build and 
maintain a real-time streamflow forecast system and to the application 
of integrative modeling platforms such as WRF-Hydro.


  * Contributes to research aimed at demonstrating and evaluating
    different techniques and datasets supporting real-time hydrologic
    forecasting. Contributes to the development of a real-time platform
    to support this evaluation. Tasks will include developing, applying
    and benchmarking new approaches for forecasts, data assimilation,
    post-processing and calibration, and verification.

  * Assists in the engineering of codes/scripts to run a hydrologic
    forecasting system in real-time and retrospectively (for hindcasts)
    on UNIX-based systems, including support for real-time observational
    and forecast data streams, creation of forecast products and
    updating of a public-facing website.

  * Participates in developing research programs with internal and
    external collaborators across disciplines and contribute to writing
    proposals for external funding.

  * Communicates research results through publication in peer-reviewed
    journals, meeting proceedings, and presentations at scientific meetings.


Education and Experience:

  * Ph.D. in Atmospheric Sciences, Hydrology or a related geoscience or
    engineering discipline, with expertise in land-surface modeling and
  * Experience in analyzing forecast results, particularly from
    hydrologic forecast models.
  * Experience with the development and application of hydrology models
    for hydrometeorological forecast purposes
  * Familiarity with or course work in statistics, including objective
    analysis techniques.
  * Demonstrated record of research and publication.
  * Familiarity with operational forecasting environments is a plus.

Knowledge, Skills and Abilities:

  * In-depth knowledge of hydrologic prediction science, including
    hydrologic process modeling (i.e., simulation) and statistical
    methods for ensemble calibration and verification.
  * Ability to establish and maintain a nationally recognized
    publication record.
  * Ability to participate in and interact productively with hydrologic
    analysis and prediction groups, statisticians and
    hydrometeorological scientists at NCAR and among the
    hydrometeorological forecasting community.
  * Strong skills in written and oral communication of research results,
    including in an interdisciplinary context.
  * Technical/computational skills:
      o Strong competence in UNIX.
      o Competence with scripting languages such as Python and/or Perl
      o Familiarity with GIS or GIS-equivalent (e.g., gdal)
      o Familiarity with FORTRAN and C programming languages
      o Competency with analysis and scripting in R or open-source
        equivalent is also desired
      o Familiarity with web design languages (HTML, PHP, Javascript)
        and database programs (e.g., MySQL) a plus.

The University Corporation for Atmospheric Research (UCAR) is an*equal 
opportunity employer*. We evaluate qualified applicants without regard 
to race, color, religion, gender, national origin, ancestry, age, 
marital status, sexual orientation, domestic partner status, disability, 
or veteran status.

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