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GeoField Fellow (Summer 2023)

AidData invites applications for two temporary, three-month Graduate Fellowships during the summer of 2023. Through this fellowship, individuals will engage in cutting-edge geospatial research, including research design, data collection and analysis, and manuscript preparation. The objective of this fellowship is to develop and apply critical geospatial skills for academic and non-academic purposes.

Primary responsibilities include:

  • Develop and program workflows in cloud computing environment (e.g., Google Earth Engine – GEE) and open-source statistical software (i.e., R) to transform time series remotely sensed imagery and open-source data into outcomes that help to understand socio-ecological, agriculture, and environmental issues in various parts of the world, specifically Asia and Africa.
  • Automate geospatial workflows designed for estimating environmental indicators related to climate-sensitive agriculture with thorough testing and documentation.
  • Conduct literature reviews in fields related to geospatial data and techniques (e.g., machine learning), particularly environmental and agricultural remote sensing.

This position is based at AidData at William & Mary's Global Research Institute in Williamsburg, Virginia. This position is a temporary (hourly) position not to exceed 6 months. This is a restricted position subject to availability of funding. This position is remote-work eligible (works remotely at least 1 day per week but not full-time). Remote work eligibility is not guaranteed and is subject to approval.

Required Qualifications

  • Master’s degree or the first year of a Ph.D. in Physical Geography, Computer Science, Spatial/Geospatial Science, Forestry and Natural Resources, Spatial Hydrology, and Environmental Engineering, or related field.
  • Successfully completed coursework in Geospatial Science (i.e., remote sensing and Geographic Information Systems – GIS) and have advanced skills in geospatial analysis with a text-based interface (i.e., R, GEE, Python).
  • Prior experience with machine learning techniques
  • Experience working with time series spatial data (e.g., remotely sensed imagery, in-situ observations)

Preferred Qualifications

  • Programming in R and in GEE via JavaScript
  • Previous experience working with interdisciplinary research teams
  • Knowledge of eco-hydrologic models

Application Instructions

For more details and to apply, please visit the position listing at the William & Mary Employment Opportunities portal. There, click Apply for this Job to apply with (1) a cover letter; (2) a resume or full curriculum vitae; and (3) sample GEE and R scripts. This position closes at 11:59pm on May 21, 2023.

Equal Employment Opportunity Statement

William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching, and service missions of the university. William & Mary is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.