Characterizing the subglacial geologic and hydrologic conditions of Thwaites Glacier through unsupervised learning
College of Liberal Arts and Sciences
Location of Research
Thwaites Glacier, often referred as the Doomsday Glacier, is undergoing rapid mass loss that threatens the stability of the West Antarctic Ice Sheet. To make accurate projections for Thwaites, ice sheet modelers require detailed knowledge of the geology and hydrology beneath the ice. This project will investigate these basal conditions through the machine learning analysis of ice-penetrating radar measurements. The undergraduate researcher will participate in lab meetings, read scientific literature, and meet regularly with their mentor. Ideally, the researcher will work on this project for multiple years and potentially co-author a paper. More information about the Gator Glaciology Lab can be found at gatorglaciology.com.
The most important researcher qualities are curiosity, enthusiasm, a strong work ethic, and a commitment to fostering a respectful and inclusive lab environment. No prior research or machine learning experience is necessary, though the undergraduate researcher must be enthusiastic about learning computational skills. Experience with Python or MATLAB is preferred.