Computational Physics Post-Bachelor Student

About the Role

The Adaptive Machine Learning team is seeking a post-bachelor student in computational physics. The team focuses on research and development to improve accelerator operations through machine learning, control theory, and physics-based simulation. The successful candidate will contribute to the computational aspects of this research, supporting efforts to improve accelerator optimization and tuning by modernizing existing software, applying physics-constrained machine learning, or developing differentiable physics simulations. The position is for one year, renewable for a second year.

Key Responsibilities

• Contribute to the computational aspects of research.
• Support efforts to improve accelerator optimization and tuning by:
• Modernizing existing software.
• Applying physics-constrained machine learning.
• Developing differentiable physics simulations.

Requirements & Tech Stack

• Proficiency in Python.
• Ability to write clear, documented code.
• Ability to communicate effectively.
• Ability to perform research independently.
• Experience working in a research environment.

Desired Qualifications

• Demonstrated proficiency in Python and C++.
• Experience with GPU computing is a plus.
• A good understanding of classical mechanics and electromagnetism.
• Knowledge of the physics of particle beams and/or plasmas.
• Experience in nuclear, particle or accelerator physics research.
• Experience with machine learning and/or differentiable physics simulations.

Education/Experience

• Bachelor's degree in physics, mathematics, computer science, or a related field from an accredited university, obtained within 3 years of the hire date.
• Cumulative GPA of 2.75 or above on a 4.0 scale (or equivalent).
• Not to have accepted or be enrolled in a graduate program at the time of hire.

Work Environment

• Location: Los Alamos, NM with potential for a hybrid work arrangement (partially onsite/partially offsite) within 2 hours ground commute of Los Alamos.
• Regular onsite reporting will be required.
• Hybrid work arrangement is at the discretion of management and can change with appropriate notice.
• Some interns may work a 9/80 schedule at the discretion of management.

Required Application Materials

• Current resume
• Current official transcripts
• Personal statement of interest (not to exceed one page)

Additional Detail

• This position does not require a security clearance.
• Selected candidates will be subject to drug testing and other pre-employment background checks.
• Use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment.