Applied Machine Learning Research Internship
The Applied Machine Learning Research Internship is an intense 10-week program aimed at providing students with a solid foundation in modern machine learning (ML) topics combined with research on real problems encountered in national laboratory missions.
Target Student: Advanced Undergraduate and Graduate students
Cyber Security School
The Cyber Summer School prepares students for careers in cyber security. The school has two tracks: incident response where students will learn the necessary concepts and skills for responding effectively to cyber security incidents, and cyber research where students will apply their skills to develop innovative solutions to help address national cyber threats.
Target Student: Upper-level undergraduate and graduate students
Quantum Computing School
The Quantum Computing School is a 10-week school focused on the theory, applications, and hands-on programming of quantum computers. In the first 2 weeks, students will attend lectures given by world-leading experts – from both academia and industry – in quantum computing research. In the following 8 weeks, each student will be paired with a mentor to work on a cutting-edge research project in quantum computing. Throughout the 10 weeks, students will have the unique opportunity to program on actual quantum computers.
Target Student: Upper-level undergraduate and early graduate students
Supercomputer Institute
Supercomputer Institute is a 11-week summer school program that teaches the basics of high performance computing system administration. Students work in small project teams to execute real-world projects on computer clusters that they have assembled and configured. A technical staff member provides class instruction. Subject matter experts from Los Alamos National Laboratory mentor the team projects that are presented at a technical symposium at the conclusion of the Summer Institute. Curriculum includes guest lectures and tours of the Laboratory computing & science facilities.
Target Student: Upper-level undergraduate and early graduate students
Community Data Science Fellow
The Community Data Science Fellow is a competitive 10-week summer internship that provides a unique opportunity for a student to gain hands-on experience with scientific project leadership as well as data science. The Community Data Science Fellow will work closely with the Community Data Sprint organizing team to facilitate all aspects of the effort, which pairs data scientists and machine learning researchers with local nonprofit organizations.
Target student: Upper-level undergraduate and graduate students
Codesign School
The Codesign School recruits 6-8 graduate students from varying backgrounds (usually computer science, computational physics, and mathematics) to work on a computational codesign topic, such as novel programming models, on a specific application, such as hydrodynamics. The work usually results in research papers and posters.
Target Student: Upper-level graduate students
Data Science at Scale School
The Data Science School studies topics in data science as relevant to the Los Alamos National Laboratory mission. A key focus is on visualization and data analysis. Each student is assigned an individual project and a mentor. Students attend lectures.
Target Student: Upper-level undergraduate and graduate students
Dr. G. Robert Keepin Nonproliferation Science Summer Program
The Dr. G. Robert Keepin Nonproliferation Science Summer Program offers an opportunity to learn about how game-changing science, engineering, and technology are applied to reduce the dynamic threats of nuclear proliferation.
Parallel Computing Research Internship
The Parallel Computing Summer Research Internship is an intense 10-week program aimed at providing students with a solid foundation in modern high performance computing (HPC) topics integrated with research on real problems encountered in large-scale scientific codes. Students will collaborate in teams to identify and investigate different computational problems and implement solutions with guidance from mentors with scientific and computational expertise.
Target Student: Upper-level undergraduate and early graduate students
Computational Physics Workshop
The Computational Physics Workshop seeks to bring to Los Alamos National Laboratory a diverse group of exceptional undergraduate and graduate students for informative, enriching lectures, and to work with its staff for 10 weeks on interesting, relevant projects that may culminate in articles or conference presentations. Students are organized into groups of 2-3 working under the guidance of one or more mentors.
Target Student: Undergraduate and graduate students
Astrophysics ZTF Summer School
Caltech-founded Zwicky Transient Facility (ZTF) offers a treasure trove of detections of transient celestial phenomena, with an extensive database of historic detections. This Summer School brings together graduate students specialized in observational astronomy, theoretical astrophysics, and machine learning to work on a project aimed at building the next-generation transient classification and characterization pipeline. Students will attend lectures by world-leading experts and obtain hands-on experience working with astronomical ZTF data.
Target student: advanced undergraduate and early graduate students