Fully Funded PhD Position in Hydrology – Fall 2027

Community Surface Dynamics Modeling System (CSDMS); Dallas (TX); On-site; USD 25,000 - 35,000; Full time

Job summary

Texas State University invites a motivated PhD student to join the hydrology research group for Fall 2027. The position is fully funded and aligned with hydrologic variability, climate change, and human impacts on stream ecosystems.

The work emphasizes quantitative hydrology, watershed modeling, flow-regime analysis, and statistical methods, with opportunities to connect to biodiversity and ecosystem function.

Qualifications

• Background in hydrology, water resources, earth sciences, or related field.
• Experience with hydrologic modeling, GIS, R, Python, or statistical analysis is desirable.
• Strong quantitative skills and interdisciplinary research interest encouraged.

Responsibilities

• Focus on watershed modeling and flow-regime analysis.
• Apply statistical approaches to hydrology data.
• Link findings to freshwater biodiversity and ecosystem function.

Skills

Quantitative skills

Interdisciplinary research

Data analysis

Education

PhD in Hydrology / Water Resources / Earth Sciences

Tools

SWAT+

GIS

Python

R

Job description

Texas State University, Texas, United States

Start reviewing process: 10 November 2026

Position

Posting:

PhD student

Start Reviewing Process

10 November 2026

I am recruiting a motivated PhD student to join my research group at Texas State University in Fall 2027. The position is fully funded.

Our research focuses on understanding and predicting how hydrologic variability, climate change, and human activities influence river and stream ecosystems. The selected student will focus primarily on quantitative hydrology, including watershed modeling, flow-regime analysis, and statistical approaches, with opportunities to connect these investigations to freshwater biodiversity and ecosystem functioning.

Potential Research Areas Include

• Watershed hydrologic modeling using SWAT+ or similar models
• Hydrologic regime characterization, environmental flows, and streamflow alteration
• Climate and land-use change impacts on river systems
• Intermittent streams, drying–rewetting dynamics, and hydrologic connectivity

Preferred Qualifications:

Applicants should have a background in hydrology, water resources engineering, environmental science, earth sciences, ecology, or a related discipline. Experience with hydrologic modeling, GIS, R, Python, or statistical analysis is desirable. Applicants with strong quantitative skills and an interest in interdisciplinary research are particularly encouraged to apply.

Of interest for:

• Terrestrial Working Group
• Hydrology Focus Research Group