The Physical Sciences and Engineering Directorate seeks an outstanding Scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and materials science and/or chemistry. The candidate will have established expertise in materials or chemistry using autonomous platforms and AI to accelerate their research, with the expectation of forming an independently-funded research program within 2-3 years. The successful candidate will develop and apply advanced data-driven methodologies to accelerate discovery in materials/chemistry design, characterization, and synthesis.

Focus Areas (expertise in one or more is highly desirable)

+ Autonomous laboratories for materials synthesis and characterization
+ AI/ML for predictive modeling and inverse design
+ Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery
+ Integration of HPC, data infrastruct...