[ES_JOBS_NET] Postdoctoral Researcher--Geospatial Data Science, CO - Golden

Christine Wiedinmyer christin at ucar.edu
Fri Sep 9 06:15:39 MDT 2016



    *Posting Title*

    PostdoctoralResearcher--GeospatialData Science



    CO - Golden


    *Position Type*

    Postdoc (Fixed Term)


    *Hours Per Week*



    *Job Summary*

    The Geospatial Data Science section in NREL’s Strategic Energy
    Analysis Center has an immediate opening for a Postdoctoral Spatial
    Data Scientist to pursue a cross-disciplinary research project in
    analysis and visualization of spatial and temporal data to help
    solve real-world energy system design problems.  This position will
    focus on creating new capabilities to analyze scenarios and design
    solutions for complex challenges in sustainable energy development
    for a variety of clients both within NREL and external to the
    laboratory. The successful candidate will help to develop analysis
    and visualization frameworks to model design problems that are
    inherently spatiotemporal in resource availability, energy
    distribution networks, and energy demand scenarios. Duties will include:

      o Integrating multiple data sources, models, and software tools
        with scientific and engineering workflows for decision support
        and data analysis. These workflows will include the use of
        distributed computing and utilization of both cloud and
        high-performance parallel computing (HPC) resources.
      o Developing new methods to help researchers, clients, and
        stakeholders analyze and evaluate design strategies to implement
        sustainable energy solutions at various geographic and temporal
      o Modeling complex systems by integrating large spatiotemporal
        datasets of economic, demographic and energy related information.
      o Creating visualization interfaces that enable real-time
        examination of design scenarios both in-person in state of the
        art visualization labs as well as remotely through web-based
        frameworks to allow for design processes by stakeholders around
        the world.
      o Evaluating and communicating results through written research
        reports for publication and presentation at seminars,
        participating in group meetings and seminars, and assisting in
        developing grant proposals for new research directions.

    The ideal candidate will bring a deep background in spatial data
    visualization and analysis, as well as programming skills to
    integrate various models and tools to solve complex design
    problems.  The candidate must be willing to work in an
    interdisciplinary field, together with computer scientists, policy
    analysts, and engineers, and will require excellent interpersonal
    and communication skills. Other required skills include:

      o Highly-proficient and extensive experience with geospatial
        analysis and modeling techniques
      o Familiarity with advanced quantitative methods and/or system
      o Demonstrated ability to produce scientific visualizations,
        including cartographic products
      o Strong scientific programming and algorithm development skills
        and demonstrated use of Python in spatial analysis
      o Demonstrated experience in management of spatiotemporal data in
        SQL and/or NoSQL databases


    *Required Education, Experience, and Skills*

    Must be a recent PhD graduate within the last three years.


    *Preferred Qualifications*

    Ph.D. degree in spatial data science, geography, computer science,
    atmospheric science, or a related field. Preference will be given to
    candidates with programming experience in one or more HPC
    programming languages (e.g., Python and C++). Experience with
    large-scale parallel computing in distributed environments and
    familiarity with spatial databases (e.g., Postgres/PostGIS) is
    preferred. Experience in analysis of energy resource and/or
    atmospheric science data would be highly advantageous.  Experience
    working with large spatial and non-spatial datasets.  Knowledge of R
    for statistical analysis is preferred.


    *Submission Guidelines*

    Please note that in order to be considered an applicant for any
    position at NREL you must submit an application form for each
    position for which you believe you are qualified. Applications are
    not kept on file for future positions. Please include a cover letter
    and resume with each position application.


    *EEO Policy*

    NREL is dedicated to the principles of equal employment opportunity.
    NREL promotes a work environment that does not discriminate against
    workers or job applicants and prohibits unlawful discrimination on
    the basis of race, color, religion, sex, national origin,
    disability, age, marital status, ancestry, actual or perceived
    sexual orientation, or veteran status, including special disabled

    NREL validates right to work using E-Verify. NREL will provide the
    Social Security Administration (SSA) and, if necessary, the
    Department of Homeland Security (DHS), with information from each
    new employee’s Form I-9 to confirm work authorization. For
    additional information,click here

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