The first Glaciology in Machine Learning Summer School (GlaMacLeS) will be held 16–24 June 2024 at the Taft-Nicholson Center in the Centennial Valley, Southwest Montana.
GlaMacLeS is intended to provide students with a comprehensive introduction to the rapidly changing interface of glaciology with machine learning and artificial intelligence. The course is oriented towards PhD students and early-stage postdocs that have strong foundational knowledge in glaciology, modeling, or remote sensing, and that wish to integrate ML methods into their research while simultaneously working to establish a community of practice. We will cover a broad range of topics, including foundations of neural networks and Gaussian processes, ice sheet model emulation across scales, and deep learning for glacier remote sensing, among others.
The summer school is supported through a generous grant from the National Science Foundation that will cover most participant support costs, including travel, lodging, and meals. More information, including information on how to apply can be found at https://glamacles.github.io. Please note that the application deadline is February 15th, 2024.