University of Louisiana at Lafayette

University of Louisiana at Lafayette

Postdoctoral Researcher in Flood Risk, Human and Infrastructure Resilience, and Adaptation Planning

Lafayette, LA · Contract

Sponsorship not specifiedDetected 245 days ago
ResearchCollaboration

About the role

  • We seek a candidate with the capacity to bridge fields including hydrology, water resources engineering, flood prediction, climatology, geography, economics, sociology, and planning.
  • The postdoctoral researcher role will combine model development, scenario analysis, stakeholder engagement, and the translation of scientific findings to inform equitable adaptation planning under climate uncertainty.
  • Strong backgrounds across the following areas are encouraged: hydroclimatic modeling, geography, systems-based approaches, public policy, planning, or socioeconomic analysis.

Responsibilities

  • Develop and evaluate future climate adaptation scenarios, including different mitigation and land development options.
  • Author research papers and participate in developing research proposals.

Requirements

  • The position is for 2 years, with the possibility of a third year, contingent upon performance and the completion of required project activities.

Company info

  • The University of Louisiana at Lafayette Louisiana Watershed Flood Center (LWFC), a unit of the University's Institute for Coastal and Water Research (ICaWR) and an affiliated center with the Department of Civil and Environmental Engineering, seeks a postdoctoral researcher to conduct interdisciplinary research addressing the disproportionate impacts of climate change and increasing flood risk in U.S. Gulf regions through justice-minded research and collaborative climate adaptation planning (https://hydrorise.org/).
  • We are particularly interested in candidates with expertise in infrastructure resilience, adaptation planning, and systems-level approaches to climate risk.

This listing is sourced directly from University of Louisiana at Lafayette's careers page and normalized into a canonical job model.