Postdoctoral Research Associate
Core
Conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous materials, developing and cross-validating experimental and numerical platforms.
Role type
Postdoctoral Research Associate (Experimental Mechanics & Computational Modeling)
Builds
Automated finite element and inverse-identification workflows, experimental platforms for multiaxial testing, and constitutive models for porous/cellular materials.
Domain
Materials Science / Mechanical Engineering / Scientific Machine Learning
Deliverable
production ML models
Required skills
Solid mechanics, continuum constitutive modeling, finite element analysis (Abaqus), Python programming, Bayesian optimization, uncertainty quantification, digital image correlation (DIC), specimen fabrication, multiaxial mechanical testing
Preferred skills
Mechanical characterization of battery components, foams, or layered material systems
Technologies
Abaqus, Python, DIC, Bayesian inference frameworks
Responsibilities
Design and fabricate heterogeneous specimens for multiaxial mechanical tests; acquire and process full-field deformation data using 3D DIC; build automated FE and inverse-identification workflows; extend modeling frameworks to porous/cellular materials; support industry projects on battery component testing; document findings via publications and presentations.
Seniority
Postdoctoral (0-3 years research experience)