PhD Opportunities: Hydrologic Modeling & Scientific ML

European Geosciences Union; Princeton (NJ); Hybrid; USD 36,000 - 42,000; Full time

Job summary

Princeton University in Princeton, New Jersey invites applications for Ph.D. opportunities in Hydrologic Modeling and Scientific Machine Learning. The group seeks motivated students to work on Tiger-HLM framework across hydrology, Earth system science, and ML.

Research areas include hydrologic modeling and ML-informed approaches, with emphasis on process representations, parameterizations, and scalable computation. Start Fall 2027; strong quantitative background required.

Qualifications

• Degree in engineering, earth/environmental science, applied mathematics, computer science, physics, statistics, or a related discipline.
• Strong quantitative and computational skills.
• Experience with hydrologic modeling, machine learning, scientific programming, numerical methods, and/or analysis of large geophysical datasets.

Skills

Hydrologic modeling

Machine learning

Scientific programming

Numerical methods

Geophysical datasets

Education

Master

Tools

Tiger-HLM

Job description

Princeton University in Princeton, New Jersey invites applications for Ph.D. opportunities in Hydrologic Modeling and Scientific Machine Learning. The group seeks motivated students to work on Tiger-HLM framework across hydrology, Earth system science, and ML.

Research areas include hydrologic modeling and ML-informed approaches, with emphasis on process representations, parameterizations, and scalable computation. Start Fall 2027; strong quantitative background required.