Paid Earth & Environmental Science Internship - Data, AI & Fieldwork

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 42,000 - 54,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision insurance

Paid leave and holidays

Relocation assistance

Job summary

Los Alamos National Laboratory is seeking motivated graduate students for its Earth and Environmental Science (EES) Graduate Student Program. Interns will participate in multidisciplinary research integrating geosciences, atmosphere, hydrology, ecology and data science with hands-on projects and formal mentoring.

Projects include developing new methods, informing national security missions, and applying AI/ML for Earth data analytics while engaging in fieldwork, lab work, and collaborative team

Qualifications

• Currently enrolled in an accredited graduate degree program in a physical science discipline.
• Must be enrolled in at least 6 semester credit hours or full-time equivalent.
• Entering graduate students must provide matriculation documentation.
• GPA of at least 3.2 on a 4.0 scale (or equivalent).

Responsibilities

• Contribute to Earth science and data-driven project work in a multidisciplinary team.
• Engage in fieldwork, laboratory experiments, and data analysis.
• Apply AI/ML techniques for Earth systems modeling and predictive analytics.
• Collaborate to design and implement research projects.

Skills

Data analysis programming

Scientific communication

Safety consciousness

Cross-disciplinary collaboration

Education

Graduate degree program enrollment

Tools

Python

ML concepts

Job description

Los Alamos National Laboratory is seeking motivated graduate students for its Earth and Environmental Science (EES) Graduate Student Program. Interns will participate in multidisciplinary research integrating geosciences, atmosphere, hydrology, ecology and data science with hands-on projects and formal mentoring.

Projects include developing new methods, informing national security missions, and applying AI/ML for Earth data analytics while engaging in fieldwork, lab work, and collaborative team