We have an opening for a Computational Scientist to work on next-generation fissile materials production modeling and simulation using state-of-the-art adaptive computing technologies to integrate models with advanced data analytics and machine learning. You will develop models to enable simulation of proliferation processes and accurate assessment of possible proliferation activities. This position is in the Applied Physics Section in the Physics Division.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

You will

• Learn underlying physics and operational procedure of existing suite of computational models for fissile-materials production.
• Enhance existing and develop new computational models for processes and components associated with fissile materials production using a new adaptive computing environment, coupled to high-performance computing capabilities, as needed.
• Use hierarchy of complex computational models to provide expert input and technical advice to national security nuclear analysts.
• Apply machine learning and statistical analysis to computer simulation outputs to couple simulation codes, to perform and analyze large-scale statistical studies, and to generate synthetic machine-learning models.
• Maintain an awareness of technical literature in assigned areas.
• Periodically, prepare written analyses and verbal briefings that capture and communicate research results.
• Publish research results in technical and/or peer-reviewed scientific journals, and present results at technical meetings and/or external conferences.
• Occasional travel as necessary to interact with sponsors and collaborators.
• Perform other duties as assigned.