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Field
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-generation wireless, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods
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geospatial analytics and programming abilities to execute complex model intercomparison and scaling assessments. This is a unique opportunity to contribute to multiple high-impact publications and shape
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Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and
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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
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://infographics.uoregon.edu/ . Minimum Requirements (updated): To qualify for Research Assistant (Type B): • Bachelor's degree in spatial or design field • Two years’ professional experience working with geospatial and/or
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designing and conducting interviews and surveys, managing large secondary datasets, and building and managing geospatial datasets. Minimum Requirements for the rank of Postdoctoral Scholar: • Ph.D. in a field
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. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
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analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g
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, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated