Staff Computational Materials Scientist
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Employment type:
Full time
Experience required:
Intermediate
Salary
$130,000.00 - $200,000.00
About the company:
It’s urgent. The gap between the energy we need and the energy we have is widening every day. Fusion is a critical part of the energy transition away from fossil fuels, a new chapter for the world’s energy supply.
We’re committing to delivering fusion power plants and a full-fledged fusion energy industry as we’ve delivered on other promises. Like the world’s strongest high-temperature superconducting magnet, the game-changing technology that’s making commercial fusion energy a reality.
We’ve raised over $2 billion in capital — more than any other fusion energy company — and attracted top talent to design, build, and deliver commercial fusion power plants. And we’re working with policymakers and suppliers to make fusion energy available globally.
As we push toward the fusion-energy future, we’ll keep setting and meeting milestones, sharing and validating our progress, and encouraging others to do the same.
The Materials and Processing (M&P) Department at CFS supports design engineers, supply chain, and manufacturing by selecting materials, unambiguously defining materials and processing routes, validating and measuring those materials and their properties, and conducting R&D to develop new materials and processes to enable fusion power deployment. M&P at CFS is organized around three primary thrusts: engineering, test and characterization, and development programs. The work is undertaken in support of delivering SPARC, the net energy tokamak under construction in Devens, MA, and ultimately in designing the ARC fusion power plant. These devices pose unique materials challenges including neutron fluxes produced by deuterium-tritium fusion, high heat loads, molten salt coolant systems, complex component topologies, high magnetic fields, and high mechanical loading in cryogenic conditions.
To support this mission, the CFS Materials Department is seeking a Computational Materials Scientist with expertise in process-structure-properties relationships, physics informed modeling, and materials in extreme environments. The ideal candidate would have a background in both computational materials simulation methods, and materials science and/or physical chemistry. The responsibilities will include physics-based modeling, synthetic data generation, and first-principles modeling and simulation to support development of CFS materials. They will collaborate with other engineers and subject matter experts to identify highest sensitivity parameters and prioritize experimental work for greatest impact to decreasing uncertainty
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.
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:
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