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Dapeng Feng

Top university

1 year ago

Hydrology The University of Texas at Austin in United States

Degree Level

PhD, Postdoc

Field of study

Ecology

Funding

Positions are fully funded for 5 years for PhD students. Funding covers stipend and tuition. Postdoc opportunities are also available, but specific funding details for postdocs are not provided.

Deadline

Dec 28, 2026

Country flag

Country

United States

University

University of Texas at Austin

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Keywords

Ecology
Environmental Science
Hydrology
Artificial Intelligence
Theoretical Physics
Earth Science
Earth Observation
Climate Dynamics

About this position

The Terrestrial Hydrology and Ecosystems Intelligence Group at the University of Texas at Austin, led by incoming Assistant Professor Dapeng Feng, is recruiting two fully funded PhD students and postdoctoral researchers to join in Fall 2026. The group is part of the Jackson School of Geosciences and focuses on integrating physical models, artificial intelligence, and large-scale Earth observations to advance understanding of the terrestrial water cycle and its interactions with climate and ecosystems. The PhD positions are fully funded for five years, including stipend and tuition.

Applicants should have a strong background in hydrology, environmental science, earth science, or related disciplines, and experience with modeling, AI, or big data is highly desirable. The group offers a collaborative research environment at a leading US institution. Interested candidates should review the details in the post and prepare to apply for Fall 2026. Formal applications should be submitted through the University of Texas at Austin's graduate admissions portal.

Postdoctoral opportunities are also available, with details to be provided by the group.

Funding details

Positions are fully funded for 5 years for PhD students. Funding covers stipend and tuition. Postdoc opportunities are also available, but specific funding details for postdocs are not provided.

What's required

Applicants should have a strong background in hydrology, environmental science, earth science, or related fields. Experience with physical modeling, artificial intelligence, or big data analysis is highly desirable. Candidates must meet the University of Texas at Austin's graduate or postdoctoral admission requirements. No specific GPA, language test, or other requirements are mentioned.

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Professors

Incoming Assistant Professor at University of Texas at Austin

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Ecology

Climate Dynamics

Earth Observation

Environmental Science