Post-Doctoral Fellow in Structural Engineering & Data Integration George Washington University in United States

George Washington University is advertising a Post-Doctoral Fellow opportunity through the NIST Professional Research Experience Program (PREP) in Structural Engineering & Data Integration at the NIST campus in Gaithersburg, Maryland.

The role focuses on building an open-source relational SQL database that captures international experimental and reconnaissance data on structural component damage, residual capacity, repair needs, and recovery-related performance. The successful candidate will connect civil engineering and structural engineering with data science, predictive modeling, and software development to support future U.S. building codes and performance standards.

Core work includes data synthesis and mining from global experimental programs and post-disaster reconnaissance reports, designing database architecture for multi-hazard structural performance data, developing consequence and functional recovery models, and creating accessible UI/UX tools for engineers and code committees. The post also emphasizes Python-based workflow automation, Git version control, and front-end development using tools such as Streamlit or Dash.

Applicants should hold a Ph.D. in Civil Engineering, Structural Engineering, or a closely related computational structural mechanics field. The post specifically seeks candidates with strong knowledge of non-linear structural behavior and numerical analysis, along with proven SQL database development experience and proficiency in Python, Git, and web-based interface tools.

This is a research-intensive postdoctoral opening rather than a scholarship. No deadline, stipend, or salary details are stated in the post. Interested applicants should use the provided application link to review and submit their materials.