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New PhD opportunity available

By Guofeng, September 16, 2023

We are seeking PhD students starting as early as Fall 2024 to develop new statistics and machine learning methods of big spatiotemporal data for innovative applications in natural hazards, climate change, 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. Students from underrepresented groups are particularly encouraged to apply. 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, 2023. Information about how to apply can be found here: Begin your application process

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