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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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and/or R (geospatial stacks, data wrangling, visualization). Record of peer-reviewed publications commensurate with career stage and strong scientific writing skills. Ability to work collaboratively
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livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data
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high-quality peer-reviewed research articles, present findings at scientific conferences and professional meetings, contribute to data visualization, figure preparation, and professional scientific
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement