Computational Physics Post-Bachelor Student

We are seeking a post-bachelor student in computational physics to join the Adaptive Machine Learning team within the Accelerator Operations and Technology (AOT) Division of the Instrumentation and Control (IC) Group. Our team focuses on research and development to enhance accelerator operations through machine learning, control theory, and physics-based simulation. Beyond research, we implement practical, operationally relevant solutions for the Los Alamos Neutron Science Center (LANSCE).

About the Role

The successful candidate will contribute to the computational aspects of our research, supporting efforts to improve accelerator optimization and tuning by modernizing existing software, applying physics-constrained machine learning, or developing differentiable physics simulations. This position is for one year and may be renewed for a second year.

Responsibilities

• Support research and development in accelerator optimization and tuning.
• Modernize existing software for accelerator operations.
• Apply physics-constrained machine learning techniques.
• Develop differentiable physics simulations.

Requirements

• Proficiency in Python.
• Able to write clear, documented code.
• Effective communication skills.
• Able to perform research independently.
• Experience working in a research environment.

Qualifications

• 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).
• Must not have accepted or be enrolled in a graduate program at the time of hire.

Desired Skills

• Demonstrated proficiency in Python and C++.
• Experience with GPU computing.
• Strong 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.

Work Environment

This position is located in Los Alamos, NM, with the potential for a hybrid work arrangement (partially onsite/partially offsite) from a location within a 2-hour ground commute. Regular onsite reporting is required. Hybrid arrangements are at the discretion of management and may change with notice. Some interns may work a 9/80 schedule at management's discretion.

Benefits

• PPO or High Deductible medical insurance with a large nationwide network.
• Dental and vision insurance.
• Free basic life and disability insurance.
• Paid childbirth and parental leave.
• Award-winning 401(k) (6% matching plus 3.5% annually).
• Learning opportunities and tuition assistance.
• Flexible schedules and time off (PTO and holidays).
• Onsite gyms and wellness programs.
• Extensive relocation packages (for candidates outside a 50-mile radius).

Due to federal restrictions, citizens of the People's Republic of China (including Hong Kong and Macau), the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities supporting national security laboratories, including Los Alamos National Laboratory.

This position does not require a security clearance but may be subject to drug testing and other pre-employment background checks. Although marijuana use is legal in some states, it remains illegal under federal law, and a positive drug test for marijuana will result in termination of employment.