LLNL has a long history of technical innovation—from the wide range of incredible scientific projects and exceptional computational capabilities to our state-of-the-art experimental facilities and an HPC center housing some of the world’s largest supercomputers.
Mission-driven applications represent a unique opportunity to fundamentally advance the underlying disciplines. ML and data science in general are crucial to dealing with the massive simulations and complex experimental data generated at the Lab.
CASC researchers contribute to projects such as cancer biology, drug discovery, nuclear fusion, material design, clean energy, traumatic brain injuries, and transportation security. We are often called upon to help with national priorities such as the COVID pandemic.
We’re looking for creative, dedicated individuals who can advance, adapt, and apply the latest ML technologies as part of diverse, multidisciplinary teams comprising ML experts, software developers, domain scientists, and HPC specialists.
Surprising Places You'll Find ML
Researchers explain why water filtration, wildfires, and carbon capture are becoming more solvable thanks to groundbreaking data science methodologies.
Igniting Scientific Discovery with AI and HPC
The merger of HPC and AI is already having a transformative impact on science and is enhancing national security efforts.
DL Tool for Better CT Images
A state-of-the-art ML–based reconstruction tool for when high-quality computed tomography data is in low supply.
ML and Satellite Light Curves
MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.
ML and Industrial Control Systems
A novel ML method discovers and predicts key data about networked devices.
LLNL + ATOM + Purdue
LLNL and Purdue University are partnering to speed up drug design using computational tools under the Accelerating Therapeutic Opportunities in Medicine project.