ERDC-CHL: National Shoaling Analysis Tool Optimization U.S. Department of Defense (DOD) in United States

This fellowship places a student within the U.S. Geological Survey’s Conventional Geothermal Assessments Task, part of the Energy Resources Program and affiliated with the Geology, Minerals, Energy, and Geophysics Science Center. The work is based in a multidisciplinary USGS research environment connected to offices in multiple western U.S. locations, with the center headquartered at Moffett Field, California. The project focuses on compiling and analyzing spatial datasets to support mapping and...

PhD position available at Princeton University in causality-aware path learning , with a strong emphasis on network science and machine learning . The position is within Prof. Dr. Jürgen Hackl’s Complex Infrastructure Systems Group in the Civil and Environmental Engineering environment. This is a research-oriented doctoral opening for candidates interested in computational methods, graph/network analysis, and data-driven learning approaches for infrastructure systems. Eligibility highlights: a M...

PhD opportunity in wildfire research and data science at the City College of New York in the Department of Civil Engineering. The project focuses on spatiotemporal analysis of large datasets related to wildland fires, with possible directions including modeling wildfire ignition causes using geographic, meteorological, and environmental factors, and studying wildfire impacts on the built environment such as buildings and infrastructure. This opening sits at the intersection of civil engineering ...

Texas A&M University is hiring a Postdoctoral Research Associate with the Institute for a Disaster Resilient Texas (IDRT) in Galveston, Texas. The position sits at the intersection of civil engineering , coastal engineering , hydrodynamic and morphodynamic modeling , flood risk reduction , and disaster resilience . The successful candidate will contribute to multidisciplinary research on planned storm surge suppression systems along the U.S. Gulf Coast, with emphasis on beach and dune modeling o...

Fully funded PhD opportunity in Urban Flood Modeling and Scientific Machine Learning at Stony Brook University (Department of Civil Engineering, New York, USA). The position is in the research group of Te Pei , Assistant Professor in Civil Engineering. The project focuses on computational urban flood modeling with opportunities to combine hydrologic and hydrodynamic modeling , geospatial data , and scientific machine learning for water-related systems. Research topics include urban flooding and ...