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 (guofeng.cao@colorado.edu). Applications are
due on December 1st, 2020. Information about how to apply can be found
here: Begin your application
process