Computational Physics Fellow: Python & ML for Accelerators

Los Alamos National Laboratory; Los Alamos (NM); Hybrid; USD 50,000 - 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 matching contributions

Tuition assistance

Flexible schedules and PTO

Onsite gyms and wellness programs

Relocation packages

Job summary

Los Alamos National Laboratory is looking for a post-bachelor student in Computational Physics. The position involves contributing to the Adaptive Machine Learning Team, where you will aid in enhancing accelerator operations through machine learning and simulations.

The successful candidate will engage in optimizing accelerator tuning and software modernization. This one-year position, with an opportunity for renewal, is based in Los Alamos, NM, offering flexible hybrid work options.

Qualifications

• Bachelor's degree must be obtained within three years of the hire date.
• Graduated with a cumulative GPA of 2.75 or above on a 4.0 scale.
• Must not be enrolled in a graduate program at hire.

Responsibilities

• Support computational aspects of research in accelerator optimization and tuning.
• Modernize existing software with physics-constrained machine learning.
• Develop differentiable physics simulations.

Skills

Proficiency in Python

Ability to write clear, documented code

Effective communication

Independent research skills

Experience in a research environment

Education

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

Tools

C++

GPU computing

Job description

Los Alamos National Laboratory is looking for a post-bachelor student in Computational Physics. The position involves contributing to the Adaptive Machine Learning Team, where you will aid in enhancing accelerator operations through machine learning and simulations.

The successful candidate will engage in optimizing accelerator tuning and software modernization. This one-year position, with an opportunity for renewal, is based in Los Alamos, NM, offering flexible hybrid work options.