Jobs:Job-01994

Postdoc Position in Hydrologic and Environmental Modeling

Texas A&M University–Corpus Christi, Texas, United States
Start reviewing process: 9 February 2026

Posting:

Position:

Postdoctoral Research Associate

Start reviewing process:

9 February 2026

Apply online:

https://www.tamucc.edu/human-resources/careers/index.php

A Postdoctoral Research Associate position is available in the Water and Environmental Systems Analysis Lab at Texas A&M University–Corpus Christi. This position will conduct research on the integrated analysis and modeling of urban water and environmental systems, focusing on urban stormwater hydrology, nonpoint source pollution, and human-water dynamics.

Required qualifications:

PhD in civil engineering, environmental science, computer science, or a related field;
Research experience in hydrology, water resources, geospatial analysis, or machine learning;
Excellent skills of scientific writing and communications.

Preferred qualifications:

Experience with urban hydrologic or environmental models;
Experience with socio-environmental analysis using agent-based or individual-based approaches;
Experience with hydrologic or environmental fieldwork.

A complete application should include a cover letter, curriculum vitae, undergraduate and graduate transcripts, statement of research experience and interest, and three references. Please submit the application through the university website: https://www.tamucc.edu/human-resources/careers/index.php (Job ID: R-090444). Review of applications will begin immediately.

For details about the research group, please visit wesa.tamucc.edu.

Thanks,
Hua Zhang

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Hua Zhang, Ph.D., A.M.ASCE (he/him/his)
Professor of Civil Engineering
College of Engineering and Computer Science
Texas A&M University-Corpus Christi
6300 Ocean Drive, Unit 5797
Corpus Christi, TX 78412
Email: hua.zhang@tamucc.edu
Research Group: https://www.wesalab.com/

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Of interest for:

Coastal Working Group

Hydrology Focus Research Group

Artificial Intelligence & Machine Learning Initiative