The Louisiana State University, Department of Civil & Environmental Engineering and Louisiana Water Resources Research Institute (LWRRI) have three (3) graduate research assistantships on big data and complex groundwater modeling. We are seeking highly motivated doctoral students to fill the positions. The positions start as early as fall 2020.
Graduate students will participate in a four-year NSF EPSCoR project to harness big hydrological data for integrated groundwater management across Louisiana, Mississippi, and Alabama (USA). The project targets complex regional geology and groundwater flow from inland to the Gulf with satellite, hydrologic, hydrogeologic, and geophysical datasets. Artificial Intelligence (AI) models and physically-based models will be developed with these big data. Models will be employed to study surface-groundwater interaction, groundwater availability, water-energy for public supply, industrial and agricultural sectors and to address drought and flooding issues in the region.
Please visit websites https://www.lsu.edu/lwrri/ and https://sites.google.com/site/franktctsai/ for data and groundwater modeling projects across Louisiana.
The NSF EPSCoR project is a collaborative project among University of Alabama (AL), Louisiana State University (LA), University of Mississippi (MS), Southern University (LA), and Tuskegee University (AL). The graduate students will have unique opportunities to participate in multi-institutional interdisciplinary research projects.
What will you need to do:
(1) Compile electric logs, drillers’ logs, geotechnical borings from various state and federal governmental agencies
(2) Utilize well log data and develop machine learning methods to construct three-dimensional geologic structures using TensorFlow
(3) Develop parallel MODFLOW 6 models with various packages using big satellite, geographic and hydrologic data from USGS, NOAA, USDA/NRCS, and NASA
(4) Calibrate AI models and physically-based models with optimization in a high performance computing environment
(5) Perform water budget analysis for different stakeholders
(6) Perform uncertainty analysis with Bayesian statistics, probability theory, and fuzzy logics.
(7) Develop web apps to display data and project results through Tethys Platform
What is preferred:
(1) M.S. in hydrology, hydrogeology, civil engineering, or related fields
(2) Interest in numerical modeling and computation
(3) Interest in mathematics and statistics
(4) Experience with computer programming languages (C, Fortran, MATLAB, Python, etc.)
(5) Experience with GIS tools
(6) Experience with Microsoft Azure, Google Cloud, IBM Cloud, or Amazon Web Services
(7) Willing to learn high performance computing and optimization
(8) Ability to collaborate with a group of diverse graduate students and faculty members
(9) Ability to author peer-reviewed journal publications and technical reports
If you are interested, please contact Dr. Frank Tsai. Contact information is below.
Frank T.-C. Tsai, Ph.D., P.E.
Director, Louisiana Water Resources Research Institute
Professor, Department of Civil and Environmental Engineering
Louisiana State University
3255 Patrick F. Taylor Hall
Baton Rouge, LA 70803-6405
Tel: (225) 578-4246