Paid Summer Data Science at Scale Internship

WIGSAT

Los Alamos (NM)

Hybrid

USD 22,000 - 36,000

Full time

14 days+

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Job summary

WIGSAT is offering a paid summer research internship in LANL's Data Science at Scale team, based in Los Alamos, New Mexico. Students choose a ten to twelve week block within the May to September window to fit their academic calendar.

Applicants must be enrolled in or accepted to an undergraduate or graduate degree programme with a GPA of at least 3.2 and be able to live and work in the United States; applications go through lanl.jobs with review generally concluded by 30 March.

Qualifications

  • Enrolled in undergraduate or graduate degree program with GPA at least 3.2.
  • Eligible to live and work in the United States.

Education

Undergraduate/Graduate student status

Tools

Data Science
Machine Learning
Visualization
Ensemble Methods

Job description

A paid summer research internship in LANL's Data Science at Scale team, based in Los Alamos, New Mexico. Students choose a ten to twelve week block within the May to September window to fit their academic calendar. Recent project topics include ensemble data management and analysis, machine learning models for scientific data, front-end visualisation tools for ensemble data, and foundation models for scientific data. Applicants must be enrolled in or accepted to an undergraduate or graduate degree programme with a cumulative GPA of at least 3.2 and be able to live and work in the United States; applications go through lanl.jobs with review generally concluded by 30 March.

Visit the official program page for current requirements, deadlines, and application details.

Help us keep this listing accurate — submit a correction or update.

Official Website lanl.gov

About This Program

A paid summer research internship in LANL's Data Science at Scale team, based in Los Alamos, New Mexico. Students choose a ten to twelve week block within the May to September window to fit their academic calendar. Recent project topics include ensemble data management and analysis, machine learning models for scientific data, front-end visualisation tools for ensemble data, and foundation models for scientific data. Applicants must be enrolled in or accepted to an undergraduate or graduate degree programme with a cumulative GPA of at least 3.2 and be able to live and work in the United States; applications go through lanl.jobs with review generally concluded by 30 March.

Program Details
Field Data Science Level Undergraduate Country United States State / Province New Mexico Application Deadline February 4 Online Available In person Funding / Award Yes Women-Only Program Open to all; women encouraged

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At a Glance
Level Undergraduate Field Data Science Country United States Funding Available Deadline February 4
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Visit the official program page for current requirements, deadlines, and application details.

Visit lanl.gov →
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Help us keep this listing accurate — submit a correction or update.

Submit an update → This site preserves restored URLs for backlink continuity. WIGSAT is not affiliated with WISAT (wisat.org), with any historical women-in-science-and-technology organization that used a similar name, or with the original organizers of the GASAT conference series. Archived pages are presented for editorial and historical reference only; content has been rewritten to fair-use editorial commentary where source material was prior-owner work.

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