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

LLNL•Livermore, CA

6d•Onsite

About The Position

Lawrence Livermore National Laboratory has multiple openings for graduate students in its Cyber and Critical Infrastructure Summer Institute (CSI). Interns will work on topics related to critical infrastructure security and resilience that align with LLNL’s national security missions. The 2027 program runs during the summer, with start dates ranging from May 17, 2027, through June 21, 2027, and flexible end dates through September 24, 2027. The program offers opportunities to apply skills to nationally important projects, including critical infrastructure risk analysis and security, energy infrastructure modernization and resilience, and defense critical infrastructure. Participants can also take part 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. The intern will provide technical or research support to projects involving critical infrastructure analysis, modeling and simulation, cybersecurity, and related fields. Work is conducted with scientists, engineers, and technical staff. The intern will support development, testing, and documentation of Laboratory methodologies and capabilities and conduct research under limited direction and supervision. Assignments may involve 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. The intern will perform basic-complexity technical assignments, attend at least one relevant on-site seminar or training class per week, and present work through presentations or poster sessions. The position involves U.S. export-controlled work and must be performed by a U.S. person. No security clearance is required. Selected external applicants must pass a post-offer, pre-employment drug test. Depending on job duties, work in Limited Areas may restrict possession of personal or Laboratory mobile and wireless devices.

Requirements

Be a continuing college or university student in good standing at an accredited institution and pursuing a graduate degree.
Ability to apply wide-ranging problem-solving techniques and/or analytical principles to solve technical problems.
Demonstrated academic achievement in a scientific or engineering curriculum.
Demonstrated effective communication skills and ability to present and communicate concepts and ideas.
Experience applying engineering principles to solve technical problems.
Ability to work in a team environment.
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.
Coursework or experience in one or more of the listed technical topics, including 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 machine learning and artificial intelligence.
Must be a U.S. person (U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual) because the position involves U.S. export-controlled work.
Must pass a post-offer, pre-employment drug test if selected as an external applicant.

Nice To Haves

GPA of 3.0 or above.

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.
Conduct research under limited direction and supervision in assigned areas, which may include 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.
Perform basic-complexity technical assignments and provide technical support to scientists on 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.