Post-Master’s Intern: Mentored Research Project Experience

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 20,000 - 30,000; Full time

Benefits offered by this job

PPO or High Deductible medical insurance

Dental and vision insurance

Free basic life and disability insurance

Paid childbirth and parental leave

401(k) with matching

Learning opportunities and tuition assistance

Flexible schedules and time off

Onsite gyms and wellness programs

Extensive relocation packages

Job summary

A national security research organization in Los Alamos, NM, seeks recent graduates for a post graduate internship. As an intern, you will engage in various computational projects within the Computing and Artificial Intelligence Division, supported by a mentor. Candidates should hold an M.S. degree in relevant fields and possess knowledge in areas like machine learning and computational physics. This role is on-site and offers opportunities for professional growth in a dynamic research environment.

Qualifications

• Knowledge and experience in Computational earth science, Numerical analysis, or Computational physics.
• M.S. Degree completed within the past 3 years with a GPA of 3.2 or better.

Responsibilities

• Take on a challenging project with mentorship in the CAI Division.
• Present work progress to colleagues.
• Engage in research applicable to core needs.

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

A national security research organization in Los Alamos, NM, seeks recent graduates for a post graduate internship. As an intern, you will engage in various computational projects within the Computing and Artificial Intelligence Division, supported by a mentor. Candidates should hold an M.S. degree in relevant fields and possess knowledge in areas like machine learning and computational physics. This role is on-site and offers opportunities for professional growth in a dynamic research environment.