Jobs:Job-01949

PhD, Postdoc, and MS Positions in Hydrology, Water Resources, and AI/ML at the National Taiwan University

National Taiwan University, , Taiwan
Apply before: 15 January 2026

Posting:

Position:

Multiple PhD, Postdoc, and MS Positions

Apply before:

15 January 2026

[[JOB bodytext::Multiple PhD, Postdoc, and MS Positions in Hydrology, Water Resources, and AI/ML at the National Taiwan University, Taiwan

Professor Yu-Li Wang’s research group in the Bioenvironmental Systems Engineering at the National Taiwan University, is recruiting:

One fully funded PhD student (tuition + stipend), starts from Fall 2026 semester
Two postdoctoral researchers, beginning between February and June 2026 (flexible start date)
One fully funded MS student (tuition + stipend), starts from Fall 2026 semester

All applications will be reviewed on a rolling basis until positions are filled. PhD applications are due by January 15, 2026 (University deadline), and please contact the PI/advisor prior to the deadline if interested.

Potential Candidate Research Areas of Interest:

AI/ML for hydrogeology and earth science
Inverse Modeling, Data Assimilation, Data Fusion
Plant-Soilwater-Groundwater interactions: infiltration, recharge, dew water formation, flow and nutrient transport through root zone
Climate change impacts on water resources for irrigation and adaptation strategies

More information: https://scholar.google.com/citations?hl=en&user=bdNEoPUAAAAJ

Qualifications
Minimum requirements:

PhD applicants must meet the University admission minimum standards
Background in hydrology, water resources, earth science, geoscience, civil/water engineering, 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 hydrological models (Modflow, Hydrus, VSAFT, WRF-Hydro, Noah-MP, etc.)
Data assimilation (or Data fusion) model development (Kalman filter, sequential linear estimator, etc.)
AI/ML model development (LSTM, CNN, PINN, XAI, etc.)
Statistical/machine learning (e.g., Scikit-learn, PyTorch)
High-performance computing (HPC) and Compute Unified Device Architecture (CUDA) applications

Application Instructions

PhD applicants: Please send (1) CV, (2) Transcripts (undergraduate and graduate, if applicable), and (3) Research statement (interests, skills, qualifications, and future research plan/goals).
Postdoctoral applicants: Please send (1) CV and (2) Statement of research interests and career goals over the next 3–5 years.
MS applicants: Please send (1) CV, (2) Transcripts (undergraduate), and (3) Research statement (interests, skills).

Please email materials to Dr. Yu-Li Wang at: ylwang [at] ntu [dot] edu [dot] tw]]

Of interest for:

Hydrology Focus Research Group

Artificial Intelligence & Machine Learning Initiative