Los Alamos Data Science at Scale Summer School

WIGSAT; Los Alamos (NM); Hybrid; USD 22,000 - 36,000; Full time

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.

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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

Apply

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

Visit lanl.gov

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