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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and interests Stanford is an equal opportunity employer
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programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated
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MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and GIS