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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via

Job advertisement Funded Machine Learning and Hydrology PhD Positions at University of Connecticut, United States

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European Geosciences Union

Funded Machine Learning and Hydrology PhD Positions at University of Connecticut, United States

Funded Machine Learning and Hydrology PhD Positions at University of Connecticut, United States

Department of Earth Sciences, University of Connecticut logo

Department of Earth Sciences, University of Connecticut


United States of America


Relevant divisions
Earth and Space Science Informatics (ESSI)
Energy, Resources and the Environment (ERE)
Hydrological Sciences (HS)

Full time

Student / Graduate / Internship

$27,000 USD per 9 months with the possibility of additional summer funding

Preferred education

Application deadline
10 January 2024

21 September 2023

Job description

The Model-Data Integration Hydro Lab ( in the Department of Earth Sciences at the University of Connecticut (UConn) in United States seeks applicants for 1-2 PhD positions interested in using machine learning to integrate hydrologic modeling and field measurements.

Individuals with undergraduate and/or graduate degrees in earth sciences, hydrology, hydrogeology, environmental science, geology, geophysics, environmental engineering, climate science, data science, or other related fields are encouraged to apply. We also strongly welcome students from underrepresented groups in earth sciences to apply.

More information about the positions including four potential research topics are listed in our lab opportunities page, For full funding consideration, please apply before January 10th, 2024. Students will receive continuous stipend support starting at ~$27,000 per 9-months with the possibility of additional summer funding. Admission also includes tuition waiver, health insurance benefits, and funding for research related travel.

In our group, we focus on studying the impacts of uncertain factors, which range from bedrock to canopy to climate disturbances, on aquifers and watersheds using advanced modeling, machine learning and decision science.

Interested students may request additional information by contacting Dr. Lijing Wang ( I am looking forward to hearing from you!

About UConn and UConn Earth Sciences:

University of Connecticut (UConn), Connecticut’s flagship university, proudly holds the #58 ranking in the 2024 Best National University Rankings and #26 ranking in Top Public University by US News. Our main campus, nestled in the rural, forested, and rolling highlands of Mansfield, Connecticut, offers an idyllic setting for learning and growth. Situated in the heart of the Northeast, halfway between Boston (a 1.5-hour drive) and New York City (a 2.5-hour drive), we find ourselves in the charming New England town of Storrs, known for its picturesque autumn scenery.

At UConn Earth Sciences, we research a wide range of topics in Earth Science, including geophysics, hydrology, climate change, geomorphology, and paleontology. To explore more about our department, please visit our website:

How to apply

The details about how to apply:

Key Components

1. The formal application form provided by the Graduate School, together with the application fee. In some circumstances, your application fee may be waived. Please refer to the UConn Graduate School Fee Waiver Policy:

2. Official transcripts from undergraduate and graduate institutions you have attended.

3. Three letters of reference.

4. Your personal essay (~2 pages). This may include your research interests, your previous achievement, your motivation for Ph.D. study, which faculty you might want to work with.

5. If English is not your primary language, you may be required to submit evidence of your proficiency in the English language. TOEFL, IELTS, PTE or Duolingo scores are accepted. GRE is NOT required.