Looking for a rewarding career opportunity with great benefits? Look no further! Join our team!
Position will enhance capabilities at University of Texas at Dallas and link to a successful hydrogeology research Team at Michigan State University. These individuals would work with a vibrant team of faculty, postdocs and graduate students to conduct integrated hydrologic modeling efforts investigating climate, land use, and water resources at large basin scales. This team seeks to develop and improve models to predict the effects of changes in land use and climate on hydrology, and to apply models to better understand how to improve sustainability of land use practices and adapt to future changes. Our highly interdisciplinary research is conducted in collaboration with researchers at multiple universities nationwide.
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.
Minimum Qualifications:
- 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.
Important Message:
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) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. 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 services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.
The University of Texas at Dallas is an innovative institution in the heart of North Texas on the path to achieving Tier One national research university status.UT Dallas has grown since its founding in 1969 to include 132 degree programs, with cutting-edge curricula serving a variety of undergraduate and graduate student interests.The University continues its original commitment to providing some of the state's most-lauded science and engineering programs and has also gained prominence for a breadth of educational paths, from criminology to biomedical engineering to arts and technology.The wealth of learning resources available to UT Dallas students is the result of a concentrated effort to attract the top minds on both ends of the classroom relationship. Joining the faculty's Nobel laureate and four National Academies members since 2005 are more than 200 tenure and tenure-track professors hailing from the world's best colleges, including Harvard, MIT, Cambridge and Columbia University. In addition, UT Dallas is home to more than 50 centers, labs and institutes that facilitate research and opportunities for hands-on learning. Students, meanwhile, arrive at UT Dallas well-prepared ...to succeed in higher education: In 2011, nearly 39 percent of freshmen ranked in the top 10 percent of their high school class, and 75 percent ranked in the top 25 percent.With an eye on building a future as bright as its beginnings, UT Dallas will continue its push to attain Tier One research university status and produce graduates who are well-equipped to succeed professionally.