Los Alamos National LaboratoryInformation Science and Technology Institute (ISTI)
Implementing and fostering collaborative research, workforce and program development, and technical exchange

Summer Schools

ISTI sponsors or co-sponsors several summer schools for undergraduate and graduate students.

Contact  

  • Institute Director
  • Stephan Eidenbenz
  • (505) 667-3742
  • Email
  • Professional Staff Assistant
  • Nickole Aguilar Garcia
  • (505) 665-3048
  • Email

The ISTI's summer school leads, mentors, and students will present their results through talks, posters, and interactive demonstrations.

Summer schools are educational internship opportunities for undergraduate and graduate students. The goal of summer schools is to improve career prospects and build a recruiting pipeline into the many IS&T areas at Los Alamos National Laboratory. ISTI organizes, sponsors, and/or co-sponsors the following summer schools.

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

Parallel Computing Videos

Computer System, Cluster, and Networking Summer Institute (CSCNSI)

CSCNSI is informally known as the Cluster School. Participants of the 10 week program learn 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 university instructor 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

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 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

Cyber Security Summer 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

Applied Machine Learning Research Internship

The Applied Machine Learning Research Internship is an intense 10-week program is 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: 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

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