Jobs:Job-00749
Start reviewing process: 21 September 2022
Posting:
Position: Two PhD student positions
Start reviewing process: 21 September 2022
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One PhD position will focus on hydrologic modeling of water resources in the headwaters of the Columbia, Colorado, and Missouri River Basins in northwestern Wyoming using WRF-Hydro. The other PhD position will focus on eco-hydrologic modeling and observations of vegetation dynamics along gradients of disturbance and climate change scenarios. Both PhD positions include modeling and field-based data collection of hydrologic and meteorologic variables, such as streamflow, snow cover, and precipitation, as well as work with eddy covariance data. Initial work will focus on medium to large-scale modeling applications, with the goal to downscale at later stages in the project.
Both successful applicants will also work with economists and social scientists for other parts of the project. The students will be part of the “Interdisciplinary PhD in Hydrologic Sciences” program at the University of Wyoming.
Start date is the spring semester 2023.
If you are interested in either position, please contact Dr. Fabian Nippgen. Applications are accepted until the positions are filled.
Sincerely,
Fabian Nippgen
Assistant Professor of Watershed Hydrology
University of Wyoming ; Ecosystem Science and Management ; College of Agriculture and Natural Resources
Agriculture Building 2009 ; 1000 E. University Ave. ; Dept. # 3354 ; Laramie, WY 82071
fnippgen@uwyo.edu ; 307-766-5012 ; www.watershed-hydrology.com
WY- ACT: Wyoming Anticipating Climate Transitions
The University of Wyoming announced in May 2022 that it had received a $20 million grant from the National Science Foundation to study climate-driven changes to Wyoming’s water supply and all the impacts that will follow. The grant was made through the Established Program to Stimulate Competitive Research (EPSCoR) of NSF, which supports efforts to enhance research, science and mathematics education, and workforce development. The project will significantly augment capabilities for refining and applying models tailored to the needs of communities that predict and communicate scenarios related to long term and severe drought.