Computational Physics Intern: ML for Accelerators (Hybrid)

Los Alamos National Laboratory; Los Alamos (NM); Hybrid; USD 55,000 - 75,000; 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 6% matching

Flexible schedules and time off (PTO and holidays)

Onsite gyms and wellness programs

Extensive relocation packages

Job summary

Los Alamos National Security LLC is looking for a post-bachelor student in computational physics. You will be part of the Adaptive Machine Learning team focused on enhancing accelerator operations using innovative machine learning and physics-based simulations.

This one-year position requires proficiency in Python, a bachelor’s degree in a related field, and experience in a research environment. A hybrid work arrangement may be possible, with regular onsite reporting required.

Qualifications

• Must have a bachelor’s degree before starting the position.
• GPA of 2.75 or above on a 4.0 scale required.
• Cannot be enrolled in a graduate program at time of hire.

Responsibilities

• Support accelerator optimization and tuning through modern software.
• Contribute to research on machine learning applications.
• Work on developing differentiable physics simulations.

Skills

Proficiency in Python

C++ proficiency

Effective communication

Research independence

Education

Bachelor’s degree in physics, mathematics, computer science or related field

Job description

Los Alamos National Security LLC is looking for a post-bachelor student in computational physics. You will be part of the Adaptive Machine Learning team focused on enhancing accelerator operations using innovative machine learning and physics-based simulations.

This one-year position requires proficiency in Python, a bachelor’s degree in a related field, and experience in a research environment. A hybrid work arrangement may be possible, with regular onsite reporting required.