Staff Computational Materials Scientist

What you'll do:

• Use and build computational toolsets, workflows, and methods to generate predicted material properties in extreme environments including temperature, radiation, and magnetic field with uncertainty bounds informed by physical mechanisms
• Identify chemical and microstructural features that strongly impact material performance in extreme environments, and quantify the relationships for use in optimization for engineering application
• Inform design of experiments for materials in extreme environments, including simultaneous corrosion, stress, and irradiation. As well as magnetic field, electric field, and high temperature
• In collaboration with design and analysis engineers, develop material design curves methodology capable of determining statistically significant minimum properties for tokamak applications such as low and high cycle fatigue, dielectric breakdown, radiation effects
• Identify gaps in knowledge and experimental capability which can be filled via simulation or model building
• Assist in benchmarking and creating metrics for material property variability and sources of variability in manufacturing,fabrication, assembly, and  processes
• Collaborate with other M&P Engineers to create workflows to enable the appropriate capture, storage, data visualization and analysis of data generated within the materials domain
• Support writing materials standard specifications
• Stay current with the evolving technology and modeling techniques

What we’re looking for:

• Materials Science and Engineering, Applied Physics, Applied Mathematics, Physical Chemistry, Computer Science or related field
• Minimum of 10+ years experience in experimental or computational materials science
• Experience using computational materials science tools and integrated computational materials engineering (ICME) tools to answer specific scientific or engineering questions across length scales
• Implementation and/or authorship of codes for calculation and analyses of material properties and microstructures
• Predictive models for material properties and microstructure evolution in extreme environments
• Validation of models with experimental data or physical mechanism bounds
• Understanding process-structure-properties-performance principles and fundamental mechanisms responsible for property changes in extreme environments
• Understanding of the underlying models that enable materials simulation methods across length scales including; Atomistic, molecular dynamics, density functional theory, Monte Carlo, phase field, crystal plasticity, dislocation dynamics, and computational thermodynamics, finite element
• Scientific computing, numerical algorithms, FEM, FD, FVM, BEM, eigen/linear/PDE solvers, convex optimization, computational geometry, advanced statistical methods
• High-performance computing: distributed processing, message parsing interface, gpu acceleration
• Understanding of the sensitivity to uncertainty in the inputs and outputs of those calculations or models
• Demonstrated ability to work effectively cross-functionally
• Excellent organizational skills including prioritization of multiple concurrent projects
• Ability to break down complex problems into smaller deliverables that add value

Bonus points for:

Must-have Requirements:

Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. We are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. We can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background.