PhD Position in Computational Hydrology and Hydraulic Modeling at Princeton University Princeton University in United States

Princeton University’s Department of Civil and Environmental Engineering and the High Meadows Environmental Institute invite applications for a PhD position in the field of computational hydrology. The research group, led by Professor Gabriele Villarini, focuses on large-scale hydrologic and hydraulic modeling, leveraging advanced computational methods to address pressing environmental and climate-related challenges. This opportunity is ideal for candidates interested in the intersection of civil engineering, environmental science, and computational modeling.

Applicants should have a strong background in engineering, climate-related science, or applied mathematics. Essential skills include proficiency in hydrologic or hydraulic modeling, computer programming (particularly Python and C/C++), and familiarity with Linux environments. Experience with processing and analyzing large climate and hydrologic datasets and model outputs is highly valued. The position offers the chance to work on impactful research projects within a collaborative and interdisciplinary environment at a world-leading institution.

While specific funding details are not provided in the announcement, PhD positions at Princeton University are typically fully funded, covering tuition and providing a stipend. Applicants are encouraged to consult the department’s guidelines or contact Professor Villarini for confirmation regarding financial support.

To apply, candidates should submit their application through Princeton University’s application portal by December 30, 2025. Detailed application instructions and qualification requirements are available on the department’s website. Interested individuals are welcome to reach out to Professor Villarini for further information about the research group and the application process.

Key research areas include computational hydrology, hydraulic modeling, civil engineering, environmental engineering, and large-scale climate data analysis. This position is well-suited for motivated students aiming to advance their expertise in hydrologic sciences and contribute to innovative research at Princeton University.