Paid Earth & Environmental Science Internship (Undergrad)

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 28,000 - 34,000; Full time

Benefits offered by this job

Medical insurance with PPO or HDHP

Dental and vision insurance

Life and disability insurance

Parental leave

401(k) with matching

Tuition assistance

Flexible PTO and holidays

Onsite gyms and wellness programs

Relocation packages

Job summary

Los Alamos National Laboratory offers a paid undergraduate internship through the Earth and Environmental Science Undergraduate Student Program. Participants gain hands-on experience, mentoring, and professional development to work on multidisciplinary Earth science and data-driven projects.

Projects may involve fieldwork, laboratory experiments, and applying AI/ML to environmental data. Applicants should be enrolled in an accredited undergraduate program and meet GPA and credit-hour

Qualifications

• Experience with experimental techniques in your field of study.
• Laboratory experience with attention to safety and accuracy.
• Ability to communicate clearly in a professional scientific context (oral and written).
• Commitment to achieving results in a complex organizational setting.

Responsibilities

• Participate in projects integrating geosciences, data science, and environmental disciplines.
• Contribute to fieldwork, lab experiments, and data analysis.
• Apply AI/ML techniques to Earth system modeling and data processing.
• Collaborate within a multidisciplinary team on research projects.
• Engage in mentoring and professional development activities.

Skills

Experimental techniques

Laboratory experience

Communication skills

Results oriented

Education

Undergraduate student status

Job description

Los Alamos National Laboratory offers a paid undergraduate internship through the Earth and Environmental Science Undergraduate Student Program. Participants gain hands-on experience, mentoring, and professional development to work on multidisciplinary Earth science and data-driven projects.

Projects may involve fieldwork, laboratory experiments, and applying AI/ML to environmental data. Applicants should be enrolled in an accredited undergraduate program and meet GPA and credit-hour