[ES_JOBS_NET] PhD Position in Deep Learning for Urban Water Systems

[Hua Zhang]

The Water and Environmental Systems Analysis Lab (WESA) at Texas A&M
University-Corpus Christi (TAMU-CC) is seeking a doctoral student to work
on the analysis of urban water infrastructure systems in coastal regions.
The NSF-funded research project aims to better understand the resilience of
urban water systems through the integration of deep learning and
hydrological-hydraulic modeling with the consideration of climate change,
hazard mitigation, and environmental sustainability. Within the project
framework, the specific research topics of this Ph.D. position will be
discussed and determined. For details about the research group, please
visit wesa.tamucc.edu.



Required qualification:

   - MS degree in civil and environmental engineering, computer science,
   environmental science, or a related field.


Preferred qualifications (experience with any of the following topics):

   - Watershed hydrological or water quality analysis
   - Municipal water supply, wastewater, or stormwater systems
   - Water system simulations (using SWMM, EPANET, SewerGEMS, or similar
   models)
   - Machine learning or artificial intelligence


Interested applicants are encouraged to contact Dr. Zhang (
hua.zhang at tamucc.edu). A complete application will include:

   - Curriculum vitae
   - Statement of research experience and interest
   - Undergraduate and graduate transcripts
   - Three references


Review of applications will begin immediately. The positions will remain
open until filled.


Thanks,


Hua Zhang

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Hua Zhang, Ph.D., A.M.ASCE (he/him/his)
Associate 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
Phone: (361) 825-2467
Email: hua.zhang at tamucc.edu
Research Group: wesa.tamucc.edu <https://www.wesalab.com/>
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