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New PhD opportunity available

By Guofeng, October 10, 2020

We are seeking PhD students starting as early as Spring 2021 to develop new machine learning methods of big spatiotemporal data for innovative applications in natural hazards, land surface changes and public health. Students will be funded via research and teaching assistantships, which includes full tuition coverage, a stipend, and health insurance, contingent on good progress through the program.

Qualified candidates should have a degree in Geography, Statistics, Computer Science or a related discipline, and expertise in geographic information system (GIS) and remote sensing. Preference will be given to applicants with strong quantitative backgrounds and programming experiences in machine learning or geospatial data analysis. The stipend for this position is competitive, and the tuition is covered. If interested, please send a CV or inquires to Dr. Guofeng Cao ( Applications are due on December 1st, 2020. Information about how to apply can be found here: Begin your application process

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