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Commonwealth Fusion Systems · 3 months ago

Computational Materials Scientist

Devens, MA

Full-time

Hybrid

Mid Level

$90K/yr - $145K/yr

3+ years exp

Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy, and they are seeking a Computational Materials Scientist to support the development of materials for fusion power deployment. This role involves using computational methods to model materials in extreme environments, collaborating with engineers, and identifying key parameters to enhance experimental work.

Clean EnergyElectrical DistributionEnergyEnvironmental EngineeringRenewable Energy

Responsibilities

Use and build computational toolsets to generate predicted material properties in extreme environments including temperature, radiation, and magnetic field with uncertainty bounds informed by physical mechanisms

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 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

Qualification

Computational materials simulationProcess-structure-properties relationshipsPhysics informed modelingMaterials in extreme environmentsExperimental materials sciencePredictive modelingModel validationData visualizationCross-functional collaborationOrganizational skillsProblem-solvingWritten communicationVerbal communication

Required

MS in Materials Science Engineering, Applied Physics, Physical Chemistry, or related field

Minimum of 3+ years' experience in experimental or computational materials science

Implementation and/or authorship of codes for calculation and analyses of material properties

Building predictive models for material properties in extreme environments

Validation of models with experimental data or physical mechanism bounds

Process failure modes or physical mechanism driven hypothesis formulation and design of experiments

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

Understanding of the sensitivity to uncertainty in the inputs and outputs of those 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

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

Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics

Willingness to travel or work required nights/weekends/on-call occasionally

Preferred

Experience using computational materials science tools and integrated computational materials engineering (ICME) tools to answer specific scientific questions, ideally across length scales

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