Job description
Possible projects include:
- Quantifying sustainable irrigation in the Central Valley of the US, incorporating novel irrigation schemes and detailed groundwater models. Simulate the consequences of changing policies, evaluate how climate change may affect state-mandated management goals.
- Simulating Amazon Basin hydrology, incorporating data from both widely-available sources as well as unique datasets from local collaborators. This may include field data collection and hydrogeophysics.
- Building CONUS-scale simulations of integrated surface and groundwater resources. These models could then be used to investigate a variety of water resources, sustainability, land use, and climate change questions.
- Apply novel AI-driven sub-grid modeling to simulate fine-scale processes in landscape models. These may include field efforts using in-situ data collection or rely on data synthesis including LIDAR and high resolution remote sensing.
- Master’s degree in field directly related to research- Two (2) years of experience/expertise performing research relating to a specified field of study- Or equivalent combination of relevant education and experience totaling at least eight years.
Preferred Education and Experience- Ph.D.
- Expertise in programming in a language such as Python, MATLAB, R, or FORTRAN.
- Willingness to learn and use new languages.
- Prior hydrologic modeling experience.
- Familiarity with machine learning, GIS, remote sensing, and spatial data analysis
- Big-data experience is a plus.
- Applicants with expertise in hydrogeophysics are also encouraged to apply.
This position requires writing peer-reviewed publications and research proposals to both extend their position and help grow the research lab at UTDallas.
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its programs and activities, including in admission and enrollment. For inquiries regarding non-discrimination policies, contact the Director of Institutional Equity at InstitutionalEquity@utdallas.edu or the Title IX Coordinator at TitleIXCoordinator@utdallas.edu, or call 972-883-5331.
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