Undergraduate and Graduating High School Senior Internship - Computational Sciences

Do something that matters and make a real difference at one of the World's most prestigious and innovative multidisciplinary research institutions. The Computational Science Undergraduate Student (UGS) Program offers paid summer and year‑round internships for undergraduate students in a variety of Computer Science, Mathematics, and Statistics projects. The UGS program provides mentoring, hands‑on technical experience, and professional development opportunities through a formalized work plan complementing the student's chosen area of study.

Computational Science UGS students support LANL projects in a wide range of project areas including, but are not limited to:

• Using agent‑based techniques to model and manage interdictions and emergency responses in multi‑treat environments;
• Comparing techniques for extracting human‑understandable explanations for the predictions provided by a random forest classifier;
• Refining a variable‑resolution ocean model to improve the underlying physics while reducing computational costs;
• Design, develop, and test Raspberry Pi device in support of LANL science and global security research mission;
• Evaluating malware‑triggered alerts, host logs, and network logs in support of cybersecurity forensic analysis;
• Using machine learning techniques to improve image processing and mechanical response in aerial robots; and
• Sensitivity analysis for Neticaâ using the R Statistical programming language.

• Currently enrolled in an accredited undergraduate program in any Computer Science or Mathematics (or related) discipline.
• Must be enrolled in at least 12 semester credit hours (or full‑time equivalent) in an accredited degree program (or international equivalent).
• Entering first‑year students must provide documentation indicating matriculation into an appropriate degree program.
• Must currently have and maintain a cumulative GPA of at least 2.75 on a 4.0 scale (or equivalent).

• Computer programming (Python, C++, etc.) in support of scientific or engineering applications;
  Advanced mathematical methods, (i.e. completed coursework in differential equations);
• Familiarity with scientific research methods and data demonstrated by completed coursework in the natural sciences;
• Familiarity with cutting edge computational research in applications such as cybersecurity, artificial intelligence, machine learning, and quantum computing;
• Demonstrated ability to communicate (verbal and written) well in a professional scientific context; and
• Commitment to achieving results in a complex social and organizational setting.

Work Location:

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

When applying, candidates must attach a resume, personal statement (not to exceed one page), and their most recent transcripts (or evidence of having accepted an offer of admission if transcript is unavailable). Personal statements are most effective when they clearly indicate your research interests and highlight your most notable achievements and accomplishments. It should also explain how you have demonstrated the application of desired knowledge and skills in your previous academic and work experiences.

• Current resume
• Current official transcripts
• Personal statement of interest (not to exceed one page)

Important:
The application is NOT complete without the 3 documents. Applicants who fail to submit the three required application documents will not be considered for employment.

Applications are reviewed on a rolling basis, and most hiring decisions will have been made by mid-February 2027 for the summer.

The application and required…