[ES_JOBS_NET] Project Scientist I - Inverse Modeling, NCAR, Boulder, CO

[Christine Wiedinmyer]

https://ucar.silkroad.com/epostings/index.cfm?fuseaction=app.dspjob&jobid=218000



Project Scientist I - Inverse Modeling

Tracking Code
    16411
Job Description

    *Project Scientist I*

    *PLEASE NOTE: *This is a full-time position.  Initial consideration
    will be given to applications received prior to 4:00 p.m. on
    September 20^th 2016, or until a sufficient number of applications
    have been received. Thereafter, applications will be reviewed on an
    as-needed basis.

    NCAR – Research Applications Laboratory (RAL) – National Security
    Applications Program (NSAP)

    Partial relocation costs paid per UCAR’s relocation policy.

    UCAR/NCAR will sponsor a work visa to fill this position.

    **

    *BASIC JOB FUNCTION: *

    This new full-time (1.0 FTE) position involves independent and
    collaborative, directed, research related to source term estimation
    (STE) methods and  atmospheric transport and dispersion (AT&D)
    models for selected emission scenarios. The candidate will compile
    meteorological input datasets, run simulations with the specified
    STE methods and AT&D models, and perform statistical analysis of the
    output. Measurement requirements for satisfactory performance of
    each simulation will also be investigated to quantify the accuracy,
    uncertainty, and applicability of each STE/AT&D combination for the
    given emission scenarios. The scientist will also conduct research
    and development in a team environment in weather and chemical data
    assimilation, modeling and forecasting at regional and finer scales.

    **

    *DUTIES INCLUDE:*

      * Performs high-quality research on the comparison of STE methods
        and AT&D models for selected emission scenarios.  This work
        includes the following:
          o Compiling observational datasets and working with the
            project team on development of synthetic datasets for
            emission scenarios

      * Running simulations with various STE methods and AT&D models

          o Statistical analysis of the STE/AT&D output to determine
            applicability of each method and observational requirements
            for satisfactory results
      * Publishes results in conference proceedings and peer-reviewed
        journals and participates in national and international meetings
        on a regular basis.  Participates in meetings with sponsors
        (in-person and remote) as needed.  Writes project reports as
        required by research contracts.
      * May investigate new opportunities for funding and contribute to
        the preparation of proposals; may serve as Principal
        Investigator or Co-Principal Investigator on funded proposals.
      * Maintains knowledge of current developments in topics of
        relevance to research projects, conducts reviews of papers for
        scientific journals, and may serve on professional committees.

    **

    *REQUIREMENTS INCLUDE:*

    *Education and Experience:*

      * Ph.D. degree in meteorology, atmospheric science, or closely
        related disciplines
      * Well-developed experience in STE, AT&D, and atmospheric
        composition modeling
      * Demonstrated record of research and publication
      * Post-doctoral experience is highly desirable

    *Knowledge, Skills and Abilities:*

      * Advanced knowledge and skill in solving inverse problems and
        source term estimation methods and in one or more of the
        following areas:

          o Variational approaches
          o Ensemble-based algorithms
          o Hybrid variational-ensemble methods
          o Bayesian Inference and stochastic sampling procedures
      * Demonstrated skill and familiarity in weather or chemical data
        assimilation
      * Demonstrated skill and familiarity with one or more of the
        following atmospheric transport and dispersion models:
          o AERMOD
          o SCIPUFF
          o Lagrangian particle models
      * Skill and familiarity in air quality modeling (WRF-Chem or similar)
      * Demonstrated skill and familiarity with satellite data assimilation
      * Skill in, and familiarity with, the planning, design, and
        execution of field campaigns
      * Demonstrated skills in statistical analysis
      * Demonstrated skills in scientific programming
      * Familiarity with the atmospheric boundary layer physical and
        chemical processes
      * Strong written and oral communication skills
      * Ability to prioritize, organize, and follow through on tasks

    *Decision Making and Problem Solving:*

      * In close consultation with a research team, candidate helps
        define the specific research tasks to be conducted as part of
        the project.  Provides input/makes recommendations for project
        leaders’ decisions in areas such as project design, major
        purchases, and new hires. Makes some independent decisions on
        staffing allocations.
      * Solves problems that may arise in the course of completing
        research plan. Works independently to solve these problems;
        establishes schedules to meet deadlines as needed by supervisor.
        Obtains guidance when she/he cannot make a decision or solve a
        problem independently.

    The University Corporation for Atmospheric Research (UCAR) is an
    equal opportunity/equal access/affirmative action employer that
    strives to develop and maintain a diverse workforce. UCAR is
    committed to providing equal opportunity for all employees and
    applicants for employment and does not discriminate on the basis of
    race, age, creed, color, religion, national origin or ancestry, sex,
    gender, disability, veteran status, genetic information, sexual
    orientation, gender identity or expression, or pregnancy.

    Whatever your intersection of identities, you are welcome at the
    University Corporation for Atmospheric Research (UCAR). We are
    committed to inclusivity and promoting an equitable environment that
    values and respects the uniqueness of all members of our organization.

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

Appointment Type
Regular, Full-Time (R1)
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