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

Summer School Programs

Summer schools are educational internship opportunities for undergraduate and graduate students.

Contact  

  • Institute Director
  • Stephan Eidenbenz
  • (505) 667-3742
  • 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. Click on the links to get to the school web pages. On the ISTI Documents page, there is additional material available such as school outbriefs.

Parallel Computing Research Internship

Point of Contacts: H. Nam, B. Robey

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.

During the 10 week program, students will receive training and lectures on modern topics in HPC and software development, including

  • parallel programming,
  • programming models,
  • algorithms,
  • hardware architecture and its impact on code design choices,
  • high-quality software development in collaborative environments,
  • visualization and workflow.

Students will collaborate in teams to identify and investigate different computational problems within the scientific focus area, and implement solutions guided by mentors with scientific and computational expertise.

Target Student: Upper-level undergraduate and early graduate students

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

Point of Contact: A. Bonnie, C.Connor

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 which 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

Point of Contacts: C. Junghans

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

Point of Contact: J. Ahrens, C. Canada

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

Point of Contact: M. Turcotte, N. Pickett

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

Point of Contact: A. Larson, A. Hagberg

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

Point of Contact: J. Hill. K. Maskaly, D. Israel

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.

Topics include: e.g.,

  • Exploration of Discrete Ordinates Neutron Transport Methods on Unstructured Meshes
  • Interaction Between Waves and Vortices
  • Mixtures in Warm Dense Matter 
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