[ES_JOBS_NET] Postdoctoral Researcher, Climate modeling, GFDL, Princeton, NJ

Christine Wiedinmyer christin at ucar.edu
Tue Aug 19 08:37:46 MDT 2014

The job link is at:


Postdoctoral Researcher

Tracking Code
Job Description

    *PLEASE NOTE*: This is a new, full-time, two year term position with
    possibility of extension.*This position is located in Princeton, New
    Jersey.*Initial consideration will be given to applications received
    prior to 4:00 p.m. (MDT) on Friday, August 22, 2014. Thereafter,
    applications will be reviewed on an as-needed basis.

    UCAR Community Programs (UCP)

    Visiting Scientist Programs (VSP)

    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*: Investigate aspects of the tropical Pacific
    biases in newly developed GFDL climate models (AM4/CM4). The
    position is located at the NOAA Geophysical Fluid Dynamics
    Laboratory (GFDL), Princeton, New Jersey.



    Work with a team of GFDL scientists to investigate aspects of the
    tropical Pacific biases in newly developed GFDL climate models
    (AM4/CM4). The biases include the equatorial Pacific cold and dry
    bias, the double ITCZ, the overly strong trades and excessive
    tropical mean precipitation, and the bias related to model
    simulations of Madden-Julian-Oscillation. The investigations will
    focus on impacts of convection and cloud parameterization on the
    bias development. The expectations are to conduct various
    sensitivity experiments and budget/process analyses with a goal to
    better understand the interactions among tropical convection,
    clouds, and their interactions with radiation, large-scale
    circulation, and energy fluxes at air sea surface in fully coupled
    GCMs. Results of the experiments and analysis of the biases in the
    models will be presented and reported to the project PI and through
    publications and workshops.

    Will report and publish the project scientific findings and attend
    conferences, workshops, and working group meetings to present results.


    Education and Experience:

      * PhD in atmospheric or oceanic sciences, or a closely related field.
      * Limited to candidates who have received their PhD's within the
        past five years.
      * Extensive experiences in numerical modeling and coupled GCM
        process analyses are preferred.
      * Candidates should be highly self-motivated, and have a strong
        background in tropical meteorology, tropical convection, clouds
        and air-sea interaction.

    Knowledge, Skills and Abilities:

      * A thorough knowledge in tropical meteorology, tropical
        convection, clouds, and their interactions with circulations and
        boundary layer processes are required to perform the job.
      * Good computer skills with experience in Fortran, Unix shell
        scripting and analysis software tools such as Matlab, Grads, NCL.
      * Ability to work independently in a scientific research environment.
      * Good oral and written communication skills.
      * Understanding of the methods and procedures for conducting
        scientific research.
      * Ability to travel as needed.

    *To apply*please submit the following as attachments to the
    employment system.
    1) Cover letter including a one-page statement of interest and
    experience related to the position description and requirements.
    2) Curriculum vitae
    3) PhD abstract
    4) Three names to contact as references (name, organization, email)

    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

Job Location
    Princeton, New Jersey, United States
Position Type

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