Los Alamos National Laboratory Summer School on Geosciences and Machine Learning
Organized by Diane Oyen, Reid Porter and Youzuo Linhttp://www.lanl.gov/projects/national-security-education-center/information-science-technology/summer-schools/applied-machine-learning/index.php
05/29/18 - 08/03/18
Los Alamos National Laboratory, Los Alamos National Laboratory
The Applied Machine Learning Summer Research Fellowship is an intense 10 week program aimed at providing graduate students with a solid foundation in modern machine learning through applications of importance to the National Lab. Projects include developing methodologies to address practical use of machine learning including scalability, transparency, robustness and extendibility. Projects will apply machine learning to problems in hyperspectral imagery, event forecasting, and text mining; as well as problems in geosciences such as flow dynamics in fracture networks, geysers, and the atmosphere; seismic signal analysis, and particle acceleration. This is a paid fellowship that may also include reimbursement for travel expenses.