Jobs:Job-01901

Multiple PhD and Postdoc Positions in Hydrology, Water Resources, and AI/ML at the University of Michigan – Ann Arbor

University of Michigan – Ann Arbor, Michigan, United States
Apply before: 1 December 2025

Posting:

Position:

Multiple PhD and Postdoc Positions

Apply before:

1 December 2025

Multiple PhD and Postdoc Positions in Hydrology, Water Resources, and AI/ML at the University of Michigan – Ann Arbor

Professor Tiantian Yang’s research group in the School for Environment and Sustainability (SEAS) at the University of Michigan – Ann Arbor, is recruiting:

Two fully funded PhD students (tuition + stipend), regular Fall 2026 semester start
Two postdoctoral researchers, beginning between January and April 2026 (flexible start date)

All applications will be reviewed on a rolling basis until positions are filled. PhD applications are due by December 1, 2025 (University deadline), and please contact the PI/advisor prior to the deadline if interested.

Potential Candidate Research Areas of Interest:

AI/ML for hydrology, water resources, and climate change
Hydrologic Modeling, Flood Forecasting, Drought Monitoring
Hydroclimatic extremes and changes: precipitation, snowmelt, floods, wildfires
Large-scale water resources systems: reservoir operations, lakes/ponds management, small water system mapping, space optimization, water transferring project, water infrastructure risks analysis, and resilience against weather extremes.
Climate change impacts on freshwater resources and adaptation strategies

More information: Google Scholar Profile: https://scholar.google.com/citations?user=4D4Lfy4AAAAJ&hl=en

Qualifications
Minimum requirements:

PhD applicants must meet Rackham Graduate School admission minimum standards
Background in hydrology, water resources, civil/water engineering, atmospheric science, AI/ML, or data science
Strong academic motivation, creativity, and ability to work in a collaborative research environment

Preferred qualifications (one or more of the following):

Experience with hydrologic/hydraulic models (Sac-SMA, VIC, WRF-Hydro, Noah-MP)
AI/ML model development (LSTM, CNN, state space models, diffusion models, etc.)
Large Scale Language Processing Model (LLM) and Agent Model
Statistical/machine learning (e.g., Scikit-learn, PyTorch, image processing)
High-performance computing (HPC) applications
Geospatial data analysis, visualization, or GUI development
Atmospheric model experience (WRF, MPAS, CESM, E3SM)

Application Instructions

PhD applicants: Please send (1) CV, (2) Transcripts (undergraduate and graduate, if applicable), (3) TOEFL/IELTS (required for international students, waived for domestic student), (4) GRE (optional), (5) Research statement (interests, skills, qualifications, and future research plan/goals), (5) Representative publications.
Postdoctoral applicants: Please send (1) CV, (2) Representative publications, and (3) Statement of research interests and career goals over the next 3–5 years.

Please email materials to Dr. Tiantian Yang at:

tiantian.yang@ou.edu
Copy to (effective January 2026, no reply from this email): yangtt@umich.edu

Of interest for:

Hydrology Focus Research Group

Artificial Intelligence & Machine Learning Initiative