Graduate Student Opportunity (Ph.D. or M.S.) - Fall 2027 | COMPOUND Flood Lab, UT Austin, USA

I am seeking one motivated graduate student (Ph.D. or M.S.) to join the COMPOUND Flood Lab in the Maseeh Department of Civil, Architectural and Environmental Engineering at The University of Texas at Austin in Fall 2027. I am particularly interested in students whose research interests include compound flooding, debris–structure–wave interactions, and/or flood risk assessment, using numerical modeling, machine learning, and remote sensing. The position is expected to be supported through a research assistantship and/or teaching assistantship. Applicants with backgrounds in Civil Engineering, Coastal Engineering, Ocean Engineering, Hydrology, Hydraulic Engineering, or related fields are encouraged to apply. For Ph.D. applicants, a master’s degree is preferred. Experience with numerical modeling (ADCIRC, Delft3D, SFINCS, OpenFOAM, MPM, etc.), machine learning (PIML, GNNs, transformers, neural operators, etc.), remote sensing, or high-performance computing is a plus. I am also particularly interested in applicants who have developed software or research workflows using large language models (LLMs). For more information about my research and current projects, please visit the COMPOUND Flood Lab website: Due to the volume of inquiries, I may not be able to respond to every email individually. Thank you for your understanding. Please feel free to share this opportunity with students who may be interested. #J-18808-Ljbffr The University of Texas at Austin