[ES_JOBS_NET] Postdoctoral Researcher, NCAR - Mesoscale and Microscale Meteorology Division (MMM), mesoscale data assimilation

[Christine Wiedinmyer]

https://ucar.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=217496&company_id=15947&version=1&source=ONLINE&JobOwner=962105&startflag=1

*Postdoctoral Researcher *

Tracking Code
    14103 
Job Description

    *PLEASE NOTE*: This is a new, full-time two-year term position with
    possibility of extension. Initial consideration will be given to
    applications received prior to 4:00 p.m. (MDT) Friday, April 25,
    2014. Thereafter, applications will be reviewed on an as-needed basis.

    NCAR - Mesoscale and Microscale Meteorology Division (MMM)

    Partial relocation costs paid per UCAR's relocation policy

    If necessary, UCAR/NCAR will sponsor a work visa (e.g., H1B, etc.)
    to fill this position.

    *BASIC JOB FUNCTION*:

    This position will contribute to research on mesoscale data
    assimilation across different projects.  The research conducted
    focuses on advanced data assimilation methods (both variational- and
    ensemble-based techniques) and advanced observation types (e.g.
    cloud-and-precipitation-affected satellite radiances) for regional
    and global numerical weather prediction.

    *DUTIES INCLUDE*:

    Conduct research and development related to mesoscale weather
    prediction with WRF and MPAS community models. Research emphasis
    will be the improvement of convection-permitting forecasts using
    all-sky satellite radiances (i.e. both clear and cloud-affected
    radiances) in the GSI ensemble/variational hybrid data assimilation
    system.

    Further develop advanced methods for the assimilation of clouds from
    remote sensing and conduct impact studies for various applications
    where cloud initialization plays a major role.

    Prepare results for publication in peer-reviewed journals and for
    presentation at meetings and conferences.  Prepare and deliver
    summary reports or project progress reports as needed.

    Contribute to the goals of the NESL/MMM program.  May assist in the
    development of funding proposals and contribute to program planning
    for the Data Assimilation Section of MMM.

    *REQUIREMENTS INCLUDE*:

    Education and Experience:

      * Ph.D. degree within the last 5 years in Meteorology, Applied
        Mathematics, or a related field.

    Knowledge, Skills and Abilities:

      * Knowledge and experience with probability and statistics
      * Extensive skill in data assimilation and NWP, as demonstrated in
        peer-reviewed journal publications
      * Knowledge in satellite remote sensing
      * Knowledge of and advanced skills with programming languages
        (Fortran-90 preferred) and scripting
      * Ability in working with Linux/Unix operating systems and display
        tools (NCL, et al.)
      * Effective written and oral communication skills
      * Demonstrated ability to work independently and as part of a
        development team

    **

    *DESIRED (but not required)*:

      * Experience and specialization in data assimilation, numerical
        forecasting and/or mesoscale weather prediction.
      * Experience with WRF numerical model and associated data
        assimilation systems (WRFDA, GSI and/or DART)

    The University Corporation for Atmospheric Research (UCAR) is an
    *equal opportunity employer*
    <http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf>. 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.

Job Location
    Boulder, Colorado, United States 
Position Type
    Full-Time/Regular 

Appointment Type
Term Full-Time (T1)

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