Postdoc: Mechanics Informatics for Materials & Batteries

Northeastern University; Burlington (MA); Hybrid; USD 60,000 - 85,000; Full time

Job summary

Northeastern University in Burlington, MA invites applications for a Postdoctoral Research Associate to conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous materials. The project combines hands-on testing with advanced simulations.

The position requires a PhD in a related field and experience in solid mechanics, DIC, Python, Abaqus, and Bayesian uncertainty quantification.

Qualifications

• PhD in a related field required.
• Experience in experimental and/or computational solid mechanics is essential.

Responsibilities

• Develop and operate the experimental platform for informatics-driven characterization, including designing heterogeneous specimens and multiaxial tests.
• Build automated finite element and inverse-identification workflows and perform cross-validation between measured and simulated responses.
• Extend modeling to porous and cellular materials and assess transferability across material classes.
• Support industry-sponsored projects and prepare technical deliverables and publications.

Skills

Solid mechanics

Continuum constitutive modeling

Anisotropic elasticity

Plasticity

Porous/cellular materials

Digital image correlation

Python

Finite element analysis

Abaqus

Material subroutines

Bayesian inference

Uncertainty quantification

Education

PhD in mechanical engineering, aerospace engineering, materials science and engineering, civil engineering, or a closely related field

Tools

Abaqus

Python

Finite element codes

Job description

Northeastern University in Burlington, MA invites applications for a Postdoctoral Research Associate to conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous materials. The project combines hands-on testing with advanced simulations.

The position requires a PhD in a related field and experience in solid mechanics, DIC, Python, Abaqus, and Bayesian uncertainty quantification.