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
  • Institute Deputy Director
  • Kary Myers
  • (505) 606-1455
  • Email
  • Professional Staff Assistant
  • Nickole Aguilar Garcia
  • (505) 665-3048
  • Email

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 LANL. 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

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 LANL computing & science facilities.

Target Student: Upper-level undergraduate and early graduate students, U.S. Citizens

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 LANL 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 School

The Cyber Security School is a paid 10-week summer internship where students will learn the necessary concepts and skills for cyber incident response. In addition to classroom training and lectures, students will spend most of their time working with a mentor on a small team project.

Target Student: Junior, Senior, or Master's students, US Citizens

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 LANL 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

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