Ph.D. graduate research assistantship

One Ph.D. position is available in the Department of Civil Engineering at New Mexico State University (NMSU). The student will work on water resources informatics and modeling using computational methods. As a member of the Computing Lab for Advanced Water Resources Informatics and Modeling (CLAWRIM), they will have opportunities to learn water resources modeling using various Geographic Information System (GIS) tools and optimization methods. They will also apply machine learning techniques to hydroinformatics problems.

Minimum qualifications include

• B.S. in Civil Engineering,
• M.S. in Water Resources Engineering,
• Records of peer-reviewed journal publications in English,
• Strong background in numerical methods,
• Experience in hydrologic and/or hydraulic modeling (e.g., HEC-HMS, HEC-RAS, SWAT, SWMM, VIC, etc.),
• Experience in applications of machine learning to water resources problems, and
• Proven programming skills in any computer languages with a strong motivation to learn any of R, Python, C, and/or C# as needed.

Preferred but not required software and programming skills include

• ArcGIS, QGIS, and/or GRASS GIS,
• Linux shell programming, and
• Parallel and/or network programming.

Interested individuals are asked to send the following items in a single PDF to hcho at nmsu.edu:

• Cover letter,
• CV with DOI links to any peer-reviewed journal publications, and
• Unofficial B.S. and M.S. transcripts.