Critical Infrastructure Analysis Undergraduate Intern - Cyber and Critical Infrastructure Summer Institute - Summer 2027

LLNL•Livermore, CA

5d•Onsite

About The Position

Lawrence Livermore National Laboratory has multiple openings for undergraduate students in the Cyber and Critical Infrastructure Summer Institute (CSI). Interns will work on topics related to critical infrastructure security and resilience aligned with LLNL’s national security missions. The summer 2027 program has start dates ranging from May 17 through June 21, 2027, and flexible end dates through September 24, 2027. The program offers the opportunity to apply skills to projects involving critical infrastructure risk analysis and security, energy infrastructure modernization and resilience, and defense critical infrastructure. Interns can participate in professional and technical development activities with Laboratory subject matter experts, network with interns and employees, and learn about LLNL’s support for U.S. national security. Interns provide technical and research support to projects in critical infrastructure analysis, modeling and simulation, cybersecurity, and related fields, working with scientists, engineers, and technical staff. They support the development, testing, and documentation of Laboratory methodologies and capabilities; participate in supervised research; complete basic-complexity technical assignments; attend at least one relevant on-site seminar or training class per week; and present their work through presentations and/or poster sessions. Other duties may be assigned. This position requires a continuing undergraduate student in good standing at an accredited institution who is pursuing a degree in engineering or a related field. Students graduating with a bachelor’s degree in spring 2027 and/or beginning graduate study in fall 2027 are directed to apply for the Graduate Intern position instead. The role is onsite and requires a U.S. person because the work involves U.S. Export Control. No security clearance is required.

Requirements

Be a continuing college or university student in good standing at an accredited institution, pursuing an undergraduate degree in engineering or a related field.
Apply basic problem-solving techniques and/or analytical principles to solve technical problems.
Demonstrate academic achievement in a scientific or engineering curriculum.
Have effective communication skills and the ability to present and communicate concepts and ideas.
Apply engineering principles to solve technical problems.
Work effectively in a team environment.
Have demonstrated exposure through coursework or relevant experience to one or more of the following: machine learning and artificial intelligence; risk or decision analysis; infrastructure modeling or simulation; threat or hazard modeling; data analysis; open-source research and analysis; systems engineering; system decomposition; operations research or optimization.
Meet U.S. person eligibility requirements for the export-controlled work: U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual, such as a refugee or asylee.
Pass a post-offer, pre-employment drug test if selected as an external applicant.
If the assignment exceeds 179 cumulative days in a calendar year, complete the Personal Identity Verification process and receive background-check approval; this process does not apply to foreign nationals.

Nice To Haves

GPA of 3.0 or above.
Coursework or experience in one or more of the following topics: risk or decision analysis; infrastructure modeling or simulation; threat or hazard modeling; data analysis; open-source research and analysis; systems engineering; system decomposition; operations research or optimization; machine learning and artificial intelligence.

Responsibilities

Provide technical and/or research support to projects in critical infrastructure analysis, modeling and simulation, cybersecurity, and related fields, working with scientists, engineers, and technical staff.
Support development, testing, and documentation of Laboratory methodologies and capabilities.
Participate under close supervision in research in areas such as risk or decision analysis, infrastructure modeling or simulation, threat or hazard modeling, data analysis, open-source research and analysis, systems engineering, system decomposition, operations research or optimization, and artificial intelligence or machine learning, as assigned.
Perform basic-complexity technical assignments and provide technical support to scientists on scientific research and development projects.
Attend relevant on-site seminars and training classes at least once per week.
Present work through presentations and/or poster sessions.
Perform other duties as assigned.