Postdoctoral Researcher

Job Title

Postdoctoral Researcher

Division of Academic Affairs, Civil Engineering Department

• Conduct interdisciplinary research on coastal flood risk assessment associated with sea‑level rise, land subsidence, and extreme water levels using NASA Earth observation data and geospatial datasets.
• Support the development of a quantitative geospatial risk assessment framework to evaluate hazards, vulnerabilities, and consequences affecting coastal infrastructure and communities.
• Perform geospatial analysis and flood susceptibility modeling using GIS, remote sensing, machine learning, and statistical approaches.
• Compile, process, and analyze multi‑source datasets, including DEMs, land use/land cover data, flood inventory maps, population density data, infrastructure datasets, and remote sensing products from NASA and other agencies.
• Develop and implement machine learning and spatial modeling approaches for flood hazard and vulnerability assessment, including applications using ArcGIS, Python, and related geospatial tools.
• Assist in quantifying flood hazards, infrastructure vulnerability, and socioeconomic consequences under projected sea‑level rise and land subsidence scenarios.
• Contribute to the development of geospatial flood risk maps and decision‑support tools for coastal resilience planning and hazard mitigation.
• Collaborate with faculty investigators, graduate students, NASA partners, and external stakeholders on interdisciplinary coastal resilience research activities.
• Support stakeholder engagement activities, workshops, and testing of the developed risk assessment tool with local and regional agencies.
• Prepare technical reports, peer‑reviewed journal manuscripts, conference presentations, and project deliverables for NASA‑funded research activities.
• Mentor undergraduate and graduate students involved in the project and contribute to NASA‑related educational and outreach activities.
• Participate in project meetings, research coordination activities, and collaborations with project partners including NASA Goddard Space Flight Center and collaborating universities.

The successful candidate will have a Ph.D. in Civil and Environmental Engineering, Geosciences, Urban Planning, or a related field from an accredited college or university.

• Strong background in ArcGIS, machine learning, data processing, and risk assessment.