NSIP Masters Intern - Artificial Intelligence & Data Analytics - SWE Conference

Pacific Northwest National Laboratory•Richland, WA

2d•Onsite

About The Position

Pacific Northwest National Laboratory (PNNL) is seeking master's students for assignments in its National Security Internship Program (NSIP), within the AI and Data Analytics Division of the National Security Directorate. Interns will work on complex problems in national security, energy, and science, applying computational, statistical, and mathematical techniques and cutting-edge research. Work may include developing complex computer code, participating in cyber competitions, designing visualizations, and working with big data to optimize solutions across diverse domains. Interns may be placed in one of six technical groups: Math, Stats, and Data Science; Applied Super Intelligence Systems; Foundational Data Science; Software Engineering & Architectures; Human Centered Computing; or Operational Readiness & Enablement. The groups work across areas such as mathematical modeling, machine learning, artificial intelligence, cloud engineering, data pipelines, software engineering, visualization, and human-computer interaction. Participants must begin in one of two cohort sessions and be available for the full 10-week program. Cohort 1 runs May 25 through July 30, and Cohort 2 runs June 22 through August 27. The position is based in Richland, Washington, or Seattle, Washington, and requires onsite work Monday through Thursday, with Friday onsite as required by business needs. U.S. citizenship is required because the position involves access to sensitive systems and information.

Requirements

Be matriculated or enrolled in a master's program at an accredited college or university.
Have a minimum GPA of 3.3.
Be a U.S. citizen.
Be available to start in one of the two cohort sessions and complete the full 10-week program.
Upload a resume or CV in the Resume section and a separate cover letter in the Additional Documents section, titled “AIDA - Summer 2027 NSIP Cover Letter”; the cover letter should state interest, reference relevant college courses, and describe relevant experience.

Nice To Haves

Relevant disciplines include Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Super Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science with a computational focus, Systems Engineering, Project Management, and Management Information Systems.

Responsibilities

Apply advanced computational, statistical, and mathematical techniques to complex problems in national security, energy, and science.
Develop complex computer code.
Develop and participate in cyber competitions.
Design visualizations.
Work with big data and optimize solutions across diverse domains.
Contribute to work in one of six technical groups spanning data science, artificial intelligence, software engineering, human-centered computing, and operational readiness.