The student application is now open for the 2025 Applied Machine Learning Summer Fellowship! The Applied Machine Learning Summer Research Fellowship is an intense 10-week program aimed at providing graduate and advanced undergraduate students with a solid foundation in modern machine learning through applications of importance to Los Alamos National Laboratory (LANL) and the world. This is a paid fellowship that includes reimbursement for travel expenses. Research Fellows will learn hands-on 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 ML tools, and gain experience in communicating their work through discussions and presentations. Students will attend seminars by LANL researchers and external visitors. We aim for high-impact summer projects that will lead to peer-reviewed, co-authored publications.
For 2025, we have 8 exciting projects spanning a variety of areas, including diffusion models, large language or foundation models, meta-learning, active learning, knowledge distillation, and physics-informed machine learning, with applications to cheminformatics, dynamical systems, bioinformatics, epidemiology, geoscience, code translation, and super-resolution microscopy. The full 2025 project descriptions are available at the application link below.
Application link: https://lanl-summer-school-programs.wizehive.app/program/machine-learning-summer-fellowship/info
Application deadline: January 5, 2025
AML website: https://www.lanl.gov/engage/collaboration/internships/summer-schools/applied-machine-learning-fellowship
Email us at aml-admin@lanl.gov if you have any questions.