Engineering Institute

Collaboration for conducting mission-driven, multidisciplinary engineering research and the recruiting, revitalization, and retention of current & future staff.  The Engineering Institute research focuses on structural health dynamics that include flight, vibration isolation for precision manufacturing, earthquake engineering, blast loading, signal processing, and experimental model analysis.

Contact  

  • Institute Director
  • Charles Farrar
  • (505) 665-0860
  • Email
  • UCSD EI Director
  • Michael Todd
  • (858) 534-5951
  • Executive Administrator
  • Ellie Vigil
  • (505) 667-2818
  • Email
  • Administrative Assistant
  • Rebecca Duran
  • (505) 665-8899
  • Email

Components of the Engineering Institute

Los Alamos Dynamics Summer School

The Los Alamos Dynamics Summer School is a very selective summer school in which top upper-level US-citizen undergraduate students from universities around the nation attend lectures and work in teams of three with a Los Alamos Lab mentor on research projects related to the Engineering Institute's technology focus. Their objective is to produce a conference publication summarizing their results by the end of the summer. 

The goal of this program is threefold:

  • to encourage these students to attend graduate school and specialize in fields related to NNSA’s mission
  • to recruit the top students to return to Los Alamos National Laboratory in following summers as graduate research assistants (GRAs)
  • to subsequently hire the best of these students as Los Alamos National Lab staff upon completion of their graduate degrees

Over the last seven years, 150 students from 50 academic institutions have participated in the summer school and sixteen such TSM’s have been hired.

Science of Signatures Advanced Studies Institute

This Institute focuses on developing innovative solution strategies for problems that support the forward deployment theme of the SoS Pillar. 

  • ~15 advanced Ph.D. students and/or postdocs (internal or external to Los Alamos National Laboratory) from all technical disciplines are invited to participate in this program.
  • Los Alamos technical staff are encouraged to define challenging SoS forward deployment problems for the students/postdocs to work on.

The students/postdocs form groups of three to work on their respective challenge problems with the expectation of creating a research proposal to sell their solution concept. The program culminates with student/postdoc presentations on their solution concept to a committee of staff and program managers for critical review.

Students attend daily technical and professional development lectures.  Professional development lectures are given by laboratory staff and managers as well as outside academics on topics including proposal writing, the tenure process, starting a research group at the lab, and commercializing technology developed at the laboratory. Last year’s participants gave extremely positive feedback on this lecture series.

The program requires a 100% time commitment by the students and postdocs

In order for a student to be eligible for this program they must be a U.S. Citizen or U.S. Permanent Resident.

How to Apply for 2016 Program

Past Programs

Los Alamos National Laboratory- Engineering Institute Projects
Joint Los Alamos National Laboratory/UCSD research projects

“Since 2003, LANL has funded numerous collaborative research projects that involve UCSD faculty members and graduate students from the structural engineering (SE), mechanical and aerospace engineering (MAE), electrical and computer engineering (ECE), and computer science and engineering (CSE) departments.  In addition to their faculty advisor, LANL staff provide additional mentoring for these students when they visit Los Alamos.”

  • Current Projects
  • Past Projects
Engineering Technology
Technical development and integration of the three following fundamental engineering technology areas:
  • Advanced sensing and telemetry hardware
  • Novel signal processing and pattern recognition algorithms
  • Complex multi-scale, physics-based predictive modeling
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