Entry-Level - Researcher — Computational Materials Science: Continuum Scales and Materials Discovery
Core
Develop and apply continuum-scale models, simulation workflows, and data-driven methods to accelerate the discovery and design of materials for next-generation vehicles and manufacturing.
Role type
Entry-level computational materials science researcher (continuum scales)
Builds
Physics-based models, simulation workflows, and predictive computational tools for materials behavior
Domain
Automotive manufacturing / Computational materials science
Deliverable
production ML models
Required skills
continuum-scale modeling, finite-element analysis, phase-field modeling, crystal plasticity, multiphysics simulation, scientific programming (Python/C++/Fortran/MATLAB), high-performance computing, data analysis, uncertainty quantification
Preferred skills
Integrated Computational Materials Engineering (ICME), materials discovery, high-throughput screening, Bayesian methods, scientific machine learning, digital twins, GPU acceleration, workflow automation
Technologies
Python, C/C++, Fortran, MATLAB, Julia, finite-element, phase-field, crystal-plasticity, computational fluid dynamics, reaction–diffusion, cellular automata, CALPHAD, high-performance computing clusters
Responsibilities
Develop physics-based models for composition–process–structure–property relationships; Build and apply continuum and mesoscale simulation methods; Integrate thermodynamics, kinetics, and materials data into predictive workflows; Use high-throughput computation to screen candidate materials; Partner with experimental researchers to define and interpret experiments; Establish model verification, validation, and uncertainty quantification practices; Connect computational insights to manufacturing processes and performance requirements; Prepare technical reports, publications, and invention disclosures; Mentor other employees on project goals
Seniority
Entry-level, hands-on IC
