Research Fellows will learn in a hands-on fashion by engaging in scientific research using machine learning. Research will be guided by mentors with machine learning, scientific, and computational expertise. Students will work on high performance computing clusters, apply practical and state-of-the-art machine learning tools, and gain experience in communicating their work through discussions and presentations. Students will attend seminars by Los Alamos National Laboratory researchers and external visitors. We aim for high-impact summer projects that will lead to peer-reviewed, co-authored publications.
Creating Next-Generation Leaders in Machine Learning.
Application for Summer 2025 will available by December 2024
The Applied Machine Learning Summer Research Fellowship is an intense 10-week program that begins around the beginning of June each summer. The program is aimed at providing graduate students with a solid foundation in modern machine learning through applications of importance to the National Lab and the world. This is a paid fellowship that includes reimbursement for travel expenses.