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Postdoctoral Research Fellow

George Mason University Fairfax, VA
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Postdoctoral Research Fellow
    Fairfax, VA
    Postdoctoral Faculty
    Opening on: May
        Add to favorites Favorited View favorites Department: College of Science

        Classification: Post Doc 12 month

        Job Category: Postdoctoral Faculty

        Job Type: Full-Time

        Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)

        Location: Fairfax, VA

        Workplace Type: Hybrid Eligible

        Salary: Salary commensurate with education and experience

        Restricted: Yes

        Criminal Background Check: Yes

        About the Department:

        The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center chartered by the provost and affiliated with the College of Science at George Mason University. The mission of the Center is to conduct world-class research in spatial information science and system and provide state-of-art research training to post-doctoral fellows, Ph.D. and Master students in the field. For more information about the center, please visit

        George Mason University College of Science (Mason Science) is committed to advancing all-inclusive diversity throughout our STEM community. At Mason Science, our values include fostering an organizational culture that promotes Anti-Racism, belonging, respect, and civility. We believe that a diversity of opinions, cultures, and perspectives is what provides vibrancy, innovation, and growth to an academic community.

        About the Position:

        The George Mason University, Center for Spatial Information Science and Systems (CSISS) invites applications for two (2) full-time Post-doctoral Research Fellow positions.

        These positions are an NSF-funded research project. The primary purpose of the position is to build a digital twin for national-scale field-level crop monitoring, modeling, prediction, and decision support and automation.

        Responsibilities:

        The two (2) Postdoctoral Research Fellows will focus on building a digital twin for national-scale field-level crop monitoring, modeling, prediction, and decision support and automation.

        Additional duties include but are not limited to:

        • Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision support and automation;
        • Developing agriculture digital twin theory, methods, and systems for smart cropping decisions;
        • Publishing and disseminating research at top-tier journals and conferences; and
        • Supervising graduate research assistants and student interns.

        Required Qualifications:

        • Terminal degree in a related field;
        • Knowledge of and experience in geospatial information systems, crop modeling, or digital twin; and
        • Relevant programming skills.

        Preferred Qualifications:

        • Experience with full-stack development for decision support systems in the Web environment;
        • Experience in software development with Open Source Geospatial software and libraries, e.g. GDAL or other open source geospatial packages under OSGeo;
        • Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial information systems, agro-informatic applications, crop modeling, or digital twin;
        • Experience in data management and databases;
        • A track record that demonstrates the ability to work well with interdisciplinary research teams; and
        • Knowledge of Artificial Intelligence/Machine Learning (AI/ML).

        Instructions to Applicants:

        For full consideration, applicants must apply for Postdoctoral Research Fellow at Complete and submit the online application to include three professional references with contact information, and provide a cover letter and CV.

        Posting Open Date: May 16, 2024

        For Full Consideration, Apply by: December 13, 2024

        Open Until Filled?: Yes


        Date Posted March 16, 2025
        Located In Fairfax, VA
        Apply

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