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Critical Infrastructure Analysis Undergraduate Intern - Cyber and Critical Infrastructure Summer Institute - Summer 2025

  • Internship
    Full-time
    Summer Internship
  • Engineering
    IT & Cybersecurity
  • Livermore

AI generated summary

  • You must be a continuing undergraduate student in good standing, with a GPA of 3.0+, problem-solving skills, effective communication, teamwork experience, and relevant coursework exposure.
  • You will assist with critical infrastructure analysis, modeling, and cybersecurity projects, conduct research, support methodology development, and present findings through seminars and poster sessions.

Requirements

  • Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Engineering or other related fields. If you are graduating with your bachelor's degree in Spring 2025 and/or starting a graduate degree program in Fall 2025, you will need to apply for Critical Infrastructure Analysis Graduate Intern - Cyber and Critical Infrastructure Summer Institute position.
  • Ability to apply basic problem-solving techniques and/or analytical principles to solve technical problems.
  • Demonstrated academic achievement in scientific or engineering curriculum.
  • Effective communication skills.
  • Ability to present and communicate concepts and ideas.
  • Ability to apply 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 topics: risk and/or decision analysis; infrastructure modeling and/or simulation; threat and/or hazard modeling; data analysis; open-source research and analysis; systems engineering; system decomposition; operations research and/or optimization.
  • GPA of 3.0 or above.

Responsibilities

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

FAQs

What is the duration of the internship?

The internship program will run during the summer with a range of start dates between May 19, 2025, and June 23, 2025, and flexible end dates through September 26, 2025.

What educational background is required for this internship?

Applicants must be continuing college or university students in good standing at an accredited institution, pursuing an undergraduate degree in Engineering or related fields.

What are the pay rates for this internship?

The pay range for this position is $22.80 - $31.00 hourly, with step placement determined by your most recent completed academic year.

Is there a GPA requirement for applicants?

Yes, a GPA of 3.0 or above is desired.

What types of projects will interns work on?

Interns will work on projects related to critical infrastructure security and resilience, including risk analysis, infrastructure modeling, cybersecurity, and data analysis.

Will there be opportunities for professional development during the internship?

Yes, the program will include opportunities to participate in professional and technical development activities and attend relevant seminars and training classes.

Are there any specific skills or experiences required for applicants?

Applicants should demonstrate exposure through coursework or relevant experience to topics such as risk analysis, threat modeling, data analysis, systems engineering, and artificial intelligence/machine learning.

Is a security clearance required for this position?

No security clearance is required, but the position involves U.S. Export Control and must be performed by a U.S. person.

What is the application process for this internship?

Interested applicants should submit their applications through the LLNL Career Page, ensuring that all required information is included.

Are there any drug testing requirements for this position?

Yes, external applicants selected for this position must pass a post-offer, pre-employment drug test, which includes testing for the use of marijuana.

Can interns present their work during the program?

Yes, interns will have the opportunity to present their work through presentations and/or poster sessions.

Are there opportunities for networking during the internship?

Yes, interns will have the chance to network with fellow interns and Lab employees throughout the program.

Science and technology on a mission

Science & Healthcare
Industry
5001-10,000
Employees
1952
Founded Year

Mission & Purpose

Lawrence Livermore National Laboratory, located in the San Francisco Bay Area, is a premier applied science laboratory that is part of the National Nuclear Security Administration within the Department of Energy. LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory's science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security. The world-class programs and capabilities at the Lawrence Livermore National Laboratory span one square mile, what many consider to be "the smartest square mile on Earth."​