Graduate Research Opportunities: Two fully funded graduate student positions (PhD or Master’s level) are available in the a.c.t. Hydro Lab, Department of Geological Sciences at the State University of New York (SUNY) at Buffalo for Fall 2025. The positions focus on computational hydrology, with an emphasis on numerical modeling and AI/ML techniques to understand changing hydrologic cycles and assess risks in water-related sectors.
Graduate Research Opportunities at a.c.t. Hydro Lab, State University of New York at Buffalo
Designation:
PhD or Master’s level Graduate Student
Research Area:
Computational Hydrology, Numerical Modeling, AI/ML Applications, Hydrologic Cycles, Land-Atmosphere Interface, Water Risk Assessment
Location:
Department of Geological Sciences, State University of New York (SUNY) at Buffalo
Eligibility/Qualification:
- A strong background in quantitative fields such as mathematics, statistics, or computational sciences.
- Motivation to apply or enhance computational, statistical, or mathematical skills in hydrology research.
- Relevant academic or research experience in numerical modeling or AI/ML is highly desirable.
Job Description:
The selected candidates will work on developing and applying advanced numerical modeling or machine learning techniques to understand and predict hydrologic changes at the land-atmosphere interface. Projects may involve risk assessments for sectors affected by water cycle changes. Specific research topics will be flexible, aligning with ongoing research themes in the a.c.t. Hydro Lab. The students will have the opportunity to contribute to cutting-edge research in computational hydrology.
How to Apply:
Interested candidates should send an initial email to Dr. Y. Cheng (ycheng46@buffalo.edu) with a brief description of their background, research interests, and a CV. Formal applications must be submitted online through the SUNY Buffalo application portal. Applications should include recommendation letters.
Last Date to Apply:
December 15, 2024
