PSE Autonomous Discovery Scientist

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...