Staff Computational Materials Scientist

Join the power movement as a Staff Mechanical Engineer - Remote Maintenance   CFS is designing ARC as the world’s first commercial fusion power plant with the goal of bringing reliable and clean fusion energy to the grid. Due to device activation and commercial uptime needs, ARC will need periodic, fast, and reliable maintenance to be performed fully remotely. This will require novel solutions and integration in the fields of robotics, remote handling equipment (RHE), plant layout, manufacturing, and tokamak design. ARC’s Remote Maintenance System will thus be a critical aspect of realizing CFS’s mission to deliver the urgent transition to fusion energy.   The Remote Maintenance team is responsible for designing ARC’s Remote Maintenance System. As a Staff Remote Maintenance Engineer on the team, you will develop ARC’s maintenance scheme by designing RHE and collaborating with tokamak and plant engineering teams in the design of a maintainable power plant. You will play a key role in ARC’s pre-conceptual design phase along with other teams and navigate complex multi-disciplinary problems involving physics, neutronics, thermo-fluids, structures, maintenance, manufacturing, assembly, techno-economics, and other disciplines. This role also requires proactive R&D in novel remote maintenance technologies.



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:

Experience displaying complex quantitative data in a simple, intuitive format and presenting findings clearly and concisely

Experience making and justifying decisions in fast paced engineering settings

Written and verbal communication with technical teams

Taking under-defined problems and driving them to a state of completion

Operating in a flexible, service-oriented engineering domain team

Must-have Requirements:

Perform activities such as typing and sitting for extended periods of time

Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics

Willingness to travel or work required nights/weekends/on-call occasionally. Travel less than 10%