Los Alamos National Laboratory (LANL) is seeking a scientist to integrate Artificial Intelligence and Machine Learning (AI/ML) with experimental nanoscience to accelerate discovery and deepen understanding in nanotechnology research.
Requirements
- Demonstrated expertise in AI/ML, especially as applied to experimental data or scientific instrumentation.
- Experience working with experimental platforms such as materials synthesis, microscopy, spectroscopy, or materials characterization tools.
- Experience in coding software for AI applications.
- Ph.D. in physics, chemistry, materials science, computer science, engineering, theory, or a related field.
- Experience with autonomous experimentation, data-driven materials discovery, or active learning in experimental settings.
Responsibilities
- Develop and lead an independent, high-impact research program in experimental AI/ML, aligned with the mission of CINT and LANL.
- Collaborate closely with experimentalists across disciplines to develop and apply AI/ML methods that accelerate discovery and deepen understanding in nanoscale science.
- Publish in high-impact journals and present research at national and international conferences.
- Engage with and support the CINT user community, helping to integrate AI/ML approaches into collaborative experimental projects.
Other
- Excellent communication and collaboration skills.
- Ability to obtain a Q clearance (which requires U.S. citizenship).
- Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation
- Demonstrated experience securing external funding or leading multidisciplinary research efforts.
- The work location for this position is onsite and located in Los Alamos, NM.
