Post-Master's AI & Computing Intern — CAI Division

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 50,000 - 70,000; Full time

Benefits offered by this job

Medical insurance with nationwide network

Dental and vision insurance

Free basic life and disability insurance

Paid childbirth and parental leave

401(k) matching

Learning opportunities and tuition assistance

Flexible schedules and time off

Onsite gym and wellness programs

Extensive relocation packages

Job summary

Los Alamos National Laboratory is looking for recent graduates for a challenging postgraduate internship in the Computing and Artificial Intelligence Division. Interns will work on impactful projects, guided by experienced mentors, fostering professional development while addressing real-world challenges.

This internship requires an M.S. degree in engineering, mathematics, or related fields completed within the last 3 years. Candidates should have knowledge in scientific computing and a strong interest in advancing technologies.

Qualifications

• M.S. degree completed within the last 3 years with a cumulative GPA of at least 3.2.
• Knowledge and experience in the technical scope of CAI Division.

Responsibilities

• Work closely with groups in CAI Division on innovative projects.
• Engage in numerical methods, algorithms, and software engineering.

Skills

Computational earth science

Numerical analysis

Plasma physics

Astrophysics

Computational physics

Computational material science

Computational radiation or particle transport

Machine Learning

Statistics

Computer Science

Education

M.S. Degree in engineering, mathematics, computer science, physics or related field

Job description

Los Alamos National Laboratory is looking for recent graduates for a challenging postgraduate internship in the Computing and Artificial Intelligence Division. Interns will work on impactful projects, guided by experienced mentors, fostering professional development while addressing real-world challenges.

This internship requires an M.S. degree in engineering, mathematics, or related fields completed within the last 3 years. Candidates should have knowledge in scientific computing and a strong interest in advancing technologies.