AI/ML Critical Infrastructure Postdoc

About the role

Join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security; the work we do at Los Alamos National Laboratory (LANL) matters to our country and the world. We are looking for exceptional postdoctoral researcher to advance work at the intersection of machine learning, scientific computing, uncertainty quantification, and physics-based modeling of energy systems.

Responsibilities

• Develop cutting-edge AI/ML capabilities for integrating heterogenous models, physics-based simulations, and analysis across a variety of engineered systems (electric power, natural gas, and communication networks).
• Collaborate across disciplines with domain scientists on complex, real-world infrastructure challenges.
• Innovate methodologies in data-model fusion, modeling dynamic equations using AI/ML methods, surrogate modeling, probabilistic prediction, uncertainty quantification and data assimilation to advance mission critical research.

Requirements

• Demonstrated experience in machine learning, data-driven modeling, scientific computing, or statistical methods for complex systems, evidenced by a strong publication record in peer-reviewed journals.
• Deep understanding of one or more areas: surrogate modeling, emulation, data assimilation, uncertainty quantification, probabilistic prediction, or multi-modal data integration.
• Proficient programming skills with hands-on experience using modern ML frameworks (e.g., PyTorch and/or JAX) and Python, scientific stack (NumPy/SciPy).
• Demonstrated creativity and interest in developing new research directions rather than only implementing existing methods.

Qualifications

• A Ph.D. in electrical engineering, computer science, physics or a related field within the past 5 years is required.

Skills

• Experience with critical infrastructure modeling tools (PowerWorld, Pandapower, MATPOWER, PowerModels, GasModels, ns-3)
• Collaborative software development experience (git/version control)
• Experience with modeling dynamic equations using AI/ML methods

Benefits

Core activities will include AI/ML model development, running physics-based simulations, empirical validation, and collaboration with domain scientists on mission-relevant problems involving predictability, risk, attribution, and multi-scale system processes.

Pay

The pay range for this position is $112,000 - $168,000 per year.

Schedule

The work location for this position is onsite and located in Los Alamos, NM.