PhD Graduate Student Research and Teaching Assistantships
Ph.D. STUDENT OPPORTUNITIES IN HYDROLOGIC SCIENCES
AT THE UNIVERSITY OF NEVADA, RENO
The Graduate Program in Hydrologic Sciences (GPHS) at the University of Nevada, Reno invites applications for multiple Ph.D. graduate research and teaching assistantships.
Two PhD graduate research assistantships are available for four years each to work on a joint project between the University of Nevada, Reno, Desert Research Institute and several other universities exploring the role of changing snowpack in water institutions and agricultural water supplies (https://www.unr.edu/nevada-today/news/2018/evaluating-snowpack). The positions will start in summer or fall 2019.
Improving hydrological model predictions for agricultural water management: This student will work with National Water Model (NWM) to develop scenarios to stress different water institutions in the Walker River (Nevada), Verde River (Arizona), and South Platte River (Colorado) Basins. The position will focus on technical land surface model development, including close collaboration and training at the National Center for Atmospheric Research (NCAR), and interactions with economic modelers on the project team. The ideal student will have a background in computer science, engineering, or natural sciences with experience computer coding (Python, R, shell scripting, etc.) and model development and training in hydrology or related field. Students with Masters degrees are preferred. This student will be based at DRI and work primarily with Dr. Seshadri Rajagopal (http://www.dri.edu/directory/4932-sesh-rajagopal).
Connecting changing mountain water storage with downstream demand: This student will work with both historical observations and NWM projections to identify areas where changing mountain snowpacks exert the most risk for downstream agricultural demand in the Western U.S. The position will involve synthesizing large amounts of data and working closely with a diverse team of hydrologists and economists. The ideal student will have a background in engineering, environmental science, or related technical field with experience in analyzing large hydrological datasets. Students with MS degrees are preferred. This student will be based at the University of Nevada, Reno and work primarily with Dr. Adrian Harpold (https://www.unr.edu/nres/people/harpold-adrian).
Two PhD graduate teaching assistantships are available for two years, each. Students will be provided with a monthly stipend, health benefits, and tuition waiver for two academic years. The positions will start in fall 2019. Academic and research opportunities in the Graduate Program of Hydrologic Sciences can be explored at http://www.hydro.unr.edu. Additional research funding is likely and applicants are encouraged to contact faculty in the Graduate Program of Hydrologic Sciences directly to find and advisor. These positions are only available to applicants to the PhD programs in Hydrology or Hydrogeology. Students with MS degrees are preferred though students especially well qualified BS students having demonstrated research experience will be considered.
Students must apply and be admitted to the GPHS. Applications to the graduate program must be submitted through UNR Graduate School Admissions (https://www.unr.edu/grad/admissions). Prior to applying to the Graduate Program of Hydrologic Sciences, students must also contact the advisor of interest.
These assistantships are competitive with a major emphasis on potential for scholarly research and academic excellence. Applications for Fall 2019 are due by January 15th. Applications must be submitted through the Graduate School and are submitted online (https://www.unr.edu/grad/admissions). For full consideration, complete applications must be received by January 15th. Completed applications include three letters of recommendation, GRE scores, transcripts, and TOEFL scores (international students), and your letter of intent.
UNR is an Equal Opportunity Employer, with a strong institutional commitment to excellence through diversity.
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