About the role#
The Adaptive Machine Learning team is seeking a post-bachelor student to join the Accelerator Operations and Technology Division. You will support research and development efforts to improve accelerator operations at the Los Alamos Neutron Science Center. This position is for one year, with the possibility of a renewal for a second year.
What you'll do#
- Contribute to computational research projects.
- Improve accelerator optimization and tuning processes.
- Modernize existing software systems.
- Apply physics-constrained machine learning techniques.
- Develop differentiable physics simulations.
What you'll need#
- A bachelor degree in physics, mathematics, computer science, or a related field, obtained within the last 3 years.
- A cumulative GPA of 2.75 or higher.
- Proficiency in Python.
- Ability to write clear, documented code.
- Ability to perform research independently and communicate effectively.
- Experience working in a research environment.
- You must not be accepted into or enrolled in a graduate program at the time of hire.
- Preferred experience includes C++, GPU computing, classical mechanics, electromagnetism, particle beams, plasmas, and nuclear or accelerator physics research.
Location & details#
- This role is based in Los Alamos, New Mexico.
- Work is on-site with potential for a hybrid arrangement at management discretion, provided you live within a 2-hour ground commute.
- This is a full-time, paid position.
- Candidates are subject to drug testing and background checks. Note that marijuana use is prohibited under federal law regardless of state status.
About Los Alamos National Laboratory
Los Alamos National Laboratory is a research institution based in Los Alamos, New Mexico. Founded in 1943, the organization focuses on strategic science to support national security. Its workforce of over 13,000 people conducts research in fields such as supercomputing, nanotechnology, space exploration, and geophysics. The laboratory operates as a government agency.
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