Postdoctoral Fellow; PREP

Functional Recovery Design of Steel Structures

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas.

Employees in this position will perform technical work that underpins the scientific research of the collaboration.

A Senior Researcher is sought for a position in Structural Engineering to contribute to cutting‑edge work on resilience‑based seismic design of steel structures. This opportunity is part of a high‑impact research effort focused on advancing the science of seismic design for damage control, post‑earthquake performance, residual capacity, and repairability of steel buildings at both the component and system levels. The researcher will collaborate closely with leading experts at NIST and academia to accelerate the development of next‑generation seismic design and post‑earthquake evaluation procedures.

• Synthesize knowledge from past experimental tests and high‑fidelity models of structural steel components.
• Develop new nonlinear finite element models to address key data gaps in steel component behavior.
• Translate findings into technical guidance that informs seismic design for damage control, post‑earthquake assessment and decision‑making for structural engineers.
• Conduct nonlinear dynamic analyses and consequence modeling across a suite of steel building archetypes to demonstrate the real‑world application of the developed procedures.

• Ph.D. in Civil Engineering with a focus on the behavior of steel structures.
• Strong background in the behavior of structural steel components and nonlinear analysis of steel systems, with emphasis on seismic effects.
• Experience with Open Sees and/or other high‑fidelity finite element software; proficiency in Python and/or MATLAB.
• Excellent written and oral communication skills.
• Strong publication record in leading peer‑reviewed journals.

• CV/Resume (limit to 3 pages and include a valid email address; resume will not be considered if it includes self‑portraits, phone number, home address/country, citizenship status, languages spoken, or sex/gender).
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

The successful candidate(s) for this position will be subject to a pre‑employment background check including education verification.

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