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Requisition: [contact details available in the full listing]S Occupational Category (Staff Positions Only): Professional Hiring Salary: Monthly-Staff Department: Dept of Environmental and Geosciences General Requirements: Ph.D. in geography, geology, soil science, computer science, or a closely related discipline. Two years of research, teaching or experience in a related field. Experience with machine learning, managing geodatabases (e.g., ArcGIS, PostgreSQL/PostGIS), and website or dashboard development for geospatial data…
visualization is preferred. Experience with Linux-based operating systems (e.g., Ubuntu, Red Hat) is preferred. A combination of education, experience, and training that would produce the required knowledge and abilities could be considered. Nature & Purpose of Position/Usual Duties: Under the direction of the Principal Investigator, integrates geospatial data science, remote sensing agriculture, and climate modeling as part of a NASA -funded research initiative. Focuses on marrying remote sensing, geographic information system ( GIS ), and climatic databases to support sustainable agriculture monitoring and decision-making. Involves the development and application of geospatial models, analytical workflows, and data products, with substantial independence in research design, data analysis, and scholarly dissemination. Contributes intellectually to the project, lead peer-reviewed publications, and collaborate with multi-disciplinary research partners. This is a full-time, temporary, benefits-eligible, grant-funded position expected to end on or before 01/01/2029. Continuation of the position is contingent upon continued funding. Primary Responsibilities (Staff Positions Only): Oversees and monitors data collection and analysis conducted by team members and disseminates findings through accurate and timely quarterly and annual reports and publications. Evaluates the teacher preparation program to identify areas of strength and necessary improvements. Conducts research in agricultural and environmental modeling using geospatial and climatic datasets. Performs data processing and analysis of large-scale remote sensing and meteorological datasets using Python. Develops and maintains geodatabases and web-based visualization tools for project dissemination. Writes and publishes peer-reviewed journal articles, reports, and proposals. Collaborates effectively with project partners from NASA , ASU , PVAMU , UGA , NWMSU , and SHSU . Mentors and supervises undergraduate students participating in research activities, providing guidance in data collection, analysis, and manuscript preparation. Performs other related duties as assigned.
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