Jun-Whan Lee
Top university
6 days ago
PhD or M.S. Graduate Student Opportunity in Compound Flooding, Debris–Structure–Wave Interactions, and Flood Risk Assessment at UT Austin The University of Texas at Austin in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
The position is expected to be supported through a research assistantship and/or teaching assistantship.
Deadline
Dec 1, 2027
Country
United States
University
University of Texas at Austin

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About this position
Graduate Student Opportunity (Ph.D. or M.S.) in the COMPOUND Flood Lab at The University of Texas at Austin, within the Maseeh Department of Civil, Architectural and Environmental Engineering.
The lab is seeking one motivated graduate student to join in Fall 2027. Research interests include compound flooding, debris–structure–wave interactions, and/or flood risk assessment, with methods spanning numerical modeling, machine learning, and remote sensing.
Applicants from Civil Engineering, Coastal Engineering, Ocean Engineering, Hydrology, Hydraulic Engineering, or related fields are encouraged. For Ph.D. applicants, a master’s degree is preferred. Helpful experience includes ADCIRC, Delft3D, SFINCS, OpenFOAM, MPM, PIML, GNNs, transformers, neural operators, remote sensing, high-performance computing, and software/workflows using LLMs.
Funding is expected through a research assistantship and/or teaching assistantship.
To apply, submit an application to the UT Austin graduate program in Civil, Architectural and Environmental Engineering by December 1, choose EWRE or MUSE, and mention Jun-Whan Lee in your Statement of Purpose. Prospective students are also encouraged to email [email protected] with a CV and a short summary of relevant experience.
More information about the lab and projects is available on the COMPOUND Flood Lab website.
Funding details
The position is expected to be supported through a research assistantship and/or teaching assistantship.
What's required
Applicants should have backgrounds in Civil Engineering, Coastal Engineering, Ocean Engineering, Hydrology, Hydraulic Engineering, or related fields. 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. Applicants who have developed software or research workflows using large language models are especially encouraged.
How to apply
Apply to the graduate program in Civil, Architectural and Environmental Engineering at UT Austin by December 1. Select either EWRE or MUSE and indicate Jun-Whan Lee in your Statement of Purpose. Email [email protected] with your CV and a brief note on relevant research experience and technical skills.
More information can be found here
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