Funded Ph.D. Student Position (Starting Fall 2027)

Community Surface Dynamics Modeling System (CSDMS); Lansing (MI); On-site; USD 28,000 - 36,000; Full time

Job summary

University of Michigan is offering a Ph.D. student position starting Fall 2027. Apply by December 1, 2026. Research will span hydrology, flood forecasting, water resources, and AI, with direction tailored to project needs and candidate background.

The ideal candidate demonstrates motivation to learn, research originality, and strong communication for conferences and publications. Preferred backgrounds include engineering or environmental disciplines with strong math training.

Qualifications

• Strong motivation and ability to learn, with capacity for original research.
• Good communication skills for presenting research at conferences and preparing peer-reviewed publications.
• Preferred: BS/MS in a related field with strong mathematical training.
• Programming skills in Julia, MATLAB, Python, or similar.

Skills

Julia

Python

MATLAB

Research planning

Mentoring

Education

BS/MS in Civil/Environmental Eng or related field

Job description

University of Michigan, Michigan, United States

Apply before: 1 December 2026

Ph.D. Student Position – Fall 2027

A new Ph.D. student position is available for a Fall 2027 start.

Application deadline: December 1, 2026

Research Areas

• Hydrology
• Flood forecasting
• Water resources
• Artificial intelligence
• Subseasonal-to-seasonal (S2S) forecasting
• Snow hydrology, modeling, and observations
• Weather forecasting
• Climate change
• Streamflow prediction
• Environmental science
• Hydropower
• Reservoir and lake operations
• Optimization theory
• Climate modeling
• Water–energy–food nexus
• Remote sensing and radar precipitation observations
• Physical hydrologic and land-surface modeling
• Statistical modeling approaches, including machine learning and data mining

The specific research direction will be determined based on project requirements and the applicant’s interests and background.

Preferred Qualifications

The ideal candidate will have strong motivation and ability to learn, a capacity for developing original research, and good communication skills for presenting research at major conferences and preparing peer-reviewed publications.

The Following Qualifications Are Preferred But Not Mandatory

• A B.S. or M.S. degree in a related field, such as Civil Engineering, Mechanical Engineering, Environmental Engineering, Natural Resources, or another discipline with strong mathematical training.
• Strong programming skills in Julia, MATLAB, Python, or another programming language.
• Ability to mentor and lead undergraduate students in research tasks.
• Self-motivation and the ability to work both independently and collaboratively in a dynamic research environment.

Of interest for:

• Terrestrial Working Group
• Hydrology Focus Research Group