Computational Science Intern: Research & ML Projects

Los Alamos National Laboratory

Los Alamos (NM)

On-site

USD 28,000 - 39,000

Full time

14 days+

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Job summary

Los Alamos National Laboratory (LANL) offers paid summer and year-round internship opportunities for undergraduates in Computer Science, Mathematics, and Statistics. The Computational Science Undergraduate Student (UGS) Program provides mentoring, hands-on experience, and professional development through a structured work plan aligned with the student’s studies.

UGS students contribute to LANL projects across diverse areas, including agent-based modeling, machine learning, cybersecurity, quantum

Qualifications

  • Currently enrolled in an accredited undergraduate program in Computer Science or Mathematics.
  • Must be enrolled in at least 12 semester credit hours (or full-time equivalent).
  • Entering first-year students must provide documentation of matriculation into an appropriate degree program.
  • Must maintain a cumulative GPA of at least 2.75 on a 4.0 scale.
  • Preferred: programming experience in Python or C++, and coursework in differential equations.
  • Familiarity with scientific research methods and data demonstrated by completed coursework in the natural sciences.

Responsibilities

  • Support LANL projects in a wide range of areas including computer science, mathematics, and statistics.
  • Use agent-based techniques to model and manage interdictions and emergency responses in multi‑treat environments.
  • Help develop explanations for the predictions of a random forest classifier.
  • Refine a variable‑resolution ocean model to improve physics while reducing computational costs.
  • Design, develop, and test Raspberry Pi devices for LANL science and global security research missions.
  • Evaluate malware‑triggered alerts, host logs, and network logs for cybersecurity forensic analysis.
  • Apply machine learning techniques to improve image processing and mechanical response in aerial robots.
  • Conduct sensitivity analysis using the R statistical programming language.

Skills

Python
C++

Job description

Los Alamos National Laboratory (LANL) offers paid summer and year-round internship opportunities for undergraduates in Computer Science, Mathematics, and Statistics. The Computational Science Undergraduate Student (UGS) Program provides mentoring, hands-on experience, and professional development through a structured work plan aligned with the student’s studies.

UGS students contribute to LANL projects across diverse areas, including agent-based modeling, machine learning, cybersecurity, quantum

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