Postdoc: Seismic-Resilience in Steel Structures

Johns Hopkins University; Baltimore (MD); On-site; USD 65,000 - 90,000; Full time

Job summary

Johns Hopkins University seeks a PREP Research Associate to advance resilience‑based seismic design of steel structures in collaboration with NIST and academia. The role emphasizes translating complex data into practical guidance for structural engineers and contributing to high‑impact research on functional recovery after earthquakes.

The position requires a Ph.D. in Civil Engineering with a focus on steel structures, strong Python/MATLAB skills, and a track record of rigorous modeling and

Qualifications

• PhD in Civil Engineering with focus on steel structures or seismic performance.
• Strong background in experimental testing and nonlinear analysis of steel systems.
• Proficiency in Python and MATLAB; proven publication record.

Responsibilities

• Synthesize knowledge from tests and high‑fidelity models of steel components.
• Develop nonlinear finite element models to address data gaps.
• Develop and validate functional recovery design limits for steel components and systems.
• Translate findings into seismic design guidance for functional recovery and post‑earthquake assessment.
• Conduct nonlinear dynamic analyses across steel building archetypes.
• Prepare and present research papers for peer‑reviewed journals.

Skills

Python

MATLAB

Finite Element Modeling

Seismic design

Technical writing

Publications

Education

Ph.D. in Civil Engineering

Tools

ABAQUS/ANSYS

Job description

Johns Hopkins University seeks a PREP Research Associate to advance resilience‑based seismic design of steel structures in collaboration with NIST and academia. The role emphasizes translating complex data into practical guidance for structural engineers and contributing to high‑impact research on functional recovery after earthquakes.

The position requires a Ph.D. in Civil Engineering with a focus on steel structures, strong Python/MATLAB skills, and a track record of rigorous modeling and