PhD Position in Coastal Hydrology, Statistical Modeling, and Machine Learning at The University of Alabama The University of Alabama in United States

The Coastal Hydrology Lab at The University of Alabama, led by Associate Professor Hamed Moftakhari, is seeking a highly motivated PhD student to join the team starting as early as August 2026. The lab focuses on advancing the understanding and prediction of compound coastal flooding using innovative hybrid methods that combine data-driven and process-based approaches. Research areas include coastal hydrology, estuarine dynamics, hydrological controls on sediment supply and salinity intrusion, ecosystem responses to sea level rise, and the effects of hydroclimate extremes such as hurricanes.

The ideal candidate will have a strong background in coastal engineering, statistical modeling, and machine learning. The lab employs a variety of data sources and emerging technologies to study the dynamics of coastal systems, including river estuaries, wetlands, deltas, and harbors, with a focus on the impacts of human activities and climate change. The Department of Civil, Construction, and Environmental Engineering at The University of Alabama provides a collaborative environment for interdisciplinary research in these areas.

Applicants are required to submit a CV, a sample of technical writing, and contact information for three references via email to Dr. Moftakhari. The subject line should read 'CHL Fall 2026 Opening.' For more information about the lab's research and ongoing projects, prospective students are encouraged to visit the lab's website. This opportunity is ideal for students interested in coastal hydrology, environmental engineering, and the application of statistical and machine learning methods to real-world environmental challenges.