Funded PhD Researcher - Hydrology & AI

Community Surface Dynamics Modeling System (CSDMS); Town of Lansing (NY); On-site; Full time

Job description

University of Michigan, Michigan, United States

Apply before: 1 December 2026

Position

Posting:

Student Position and Postdoctoral Fellow Position

Apply Before

1 December 2026

(New PhD position available for Fall 2027 start. Please contact [e-mail] with your CV/interests before Nov 2026

Note: Application Deadline is Dec 1st, 2026 for the Fall 2027 start program)

There will be one graduate (Ph.D.) student position available

The Ph.D. research focus will be one or two of the following areas:

• hydrology
• flood forecasting
• water resources
• artificial intelligence
• subseasonal-to-seasonal forecasts
• snow hydrology / snow modeling / snow observation
• weather forecasts
• climate change
• streamflow prediction
• environmental science
• hydropower
• reservoir/lake operation
• optimization theory
• climate modeling
• water-energy-food nexus
• remote sensing/radar precipitation observation
• physical hydrologic/land-surface models
• statistical modeling approaches (machine learning and data mining tools)
  
  

The research direction (topic) will be determined based on project requirements, as well as the applicant’s interest and background.

Preferred

The ideal candidate will have a strong ability and motivation to learn, and have the ability to develop original research. A good communication skill is also needed for candidates to present his/her work in major conferences and write research articles. The following skill sets are preferred but not mandatory:

• A BS or MS degree in related fields (Civil, Mechanical, Environmental, Natural Resources, or other fields with strong math training)
• A strong programming skill (Julia, Matlab, Python, or any programming language of the candidate’s choice).
• An ability to lead undergraduate students to finish research tasks.
• Self-motivated, and is able to work individually and collaboratively in a dynamic working environment.
  
  

To apply, please send the following documents to Dr. Tiantian Yang ([e-mail]) or add WeChat: tiantiay

• CV or Resume
• Unofficial BS transcripts
• English Scores if you do not have a degree in an English-speaking country
• publication samples (optional)
  
  

Postdoctoral Fellow Position

(Starting Later 2026 or 2027)

(New position available. Start to be late 2026 or beginning of 2027.

Please contact [e-mail] with your CV/interests)

A Postdoctoral Research Fellow Position is available with Prof. Tiantian Yang in the School for Environment and Sustainability at the University of Michigan at Ann Arbor.

Researchers with backgrounds and interests in one or two of the following areas are encouraged to apply:

• Hydrologic Modeling
• Flood Forecasting
• Artificial Intelligence
• Water Resources Planning and Management
• Reservoir Operation
• subseasonal-to-seasonal forecasts
• snow hydrology / snow modeling / snow observation
• Extreme Weather and Climate Change
• Subseasonal-to-Seasonal Ensemble Forecasts
• Ensemble Streamflow Predictions
• LLMs applications to water resources or hydrology or weather forecasts
• Climate Change
• Large-scale hydrological data
  
  

The postdoctoral research fellow will be leading innovative research activities, exploring potential research areas, and collaborating with faculty and graduate students.

The position will be supported by funded research projects. The initial term will be one year. Renewal of the appointment will be based on satisfactory performance and funding availability.

Salary will be based on experience. Successful applicants will be provided with competitive health/dental insurance as a part of the benefits package.

For consideration, interested applicants should send a current CV and a few signature papers/publications to Prof. Tiantian Yang ([e-mail]) or add WeChat: tiantiay

Of interest for:

• Terrestrial Working Group
• Cyberinformatics and Numerics Working Group
• Hydrology Focus Research Group
• Artificial Intelligence & Machine Learning Initiative