About CSRM Foundation
CSRM Foundation is a 501(c)(3) non-profit organization devoted to developing and applying technologies that address the growing need for cost-effective, timely solutions to cultural and natural resource protection. We specialize in building protected area stewards’ and stakeholder communities’ capacities to use computational, remote sensing, digital recording, and geospatial technologies for research, management, and sustainable development of living landscapes. Our multi-disciplinary, Baltimore-based core team is small, but we collaborate with leading research institutions around the world, including NASA, The Johns Hopkins University, the German Archaeological Institute, and the University of Guam.
About the Position
We’re looking for a research intern to support our efforts in a NASA-funded project involving the archaeology of Micronesia. In addition to reviewing existing work on Pacific archaeology and environmental history, we’re applying remotely sensed data to questions about human migration through the region. Our Researcher/Intern’s primary responsibility will be to use data analysis software developed by NASA to process, visualize, and compare data collected by the ICESat-2 mission with data collected in the field by CSRM Foundation. A secondary responsibility will be to survey and synthesize academic literature relating to the project research questions.
A good candidate would have a basic understanding of geography and GIS (including projections, geodetic systems, etc.) and at least a little experience working with spatial data. Familiarity with remotely sensed data would be even better. Potential applicants who can use Python for data analysis, please see our other internship opportunity, Data Analyst/Intern!
This is an unpaid internship that we expect will involve about 6 months of part-time (5–10 hours per week) work. It can be fulfilled remotely, from anywhere with a good internet connection; coordination with the CSRM Foundation team will be via Zoom, email, etc.
About the Applicant
· Necessary qualifications:
o Experience working with spatial data (e.g. in ArcGIS or QGIS)
o Quantitative ability (you don’t have to be a mathematician, but you should feel comfortable working with data)
o Very good at critical reading
· Desired qualifications:
o Experience working with remote sensing data
o Interest or background in archaeology, anthropology, or environmental science
· Essential qualities:
o Comfortable working in small teams
o Positive attitude
o Diplomatic demeanor
o Writing skills—ability to communicate efficiently and clearly through the written word