UMD PhD GRA

Research Details

Some of the most important challenges that society faces, such as climate change and sustainable development more broadly, are strongly shaped by FEW system decisions made at the scale of river basins and sub-basins. However, regional FEW system planning is also shaped by national and global dynamics, such as climatic and socioeconomic change. The student will contribute to developing a novel modeling platform that can effectively couple sub-regional FEW resource and infrastructure systems together at the regional level and connect them to national and global socioeconomic and climatic forces to allow for comprehensive scenario exploration and uncertainty analysis. A unique aspect of this research will be to incorporate representations of multi-sector human institutions and decision making (e.g., regarding resource allocation and infrastructure deployment) into the computer modeling tools. The student will work with stakeholders in Argentina and Uruguay to co-develop these decision-relevant modeling advances. More details about the project are available at the link below:

https://www.nsf.gov/awardsearch/showAward?AWD_ID=1855982&HistoricalAwards=false

Desired Qualifications

Background in one of the following disciplines is highly desirable: hydrology/water resources systems, energy systems, agricultural/land systems, systems analysis, and/or applied economics. Preference will be given to candidates who possess strong computational skills, with programming experience in R, Python, Matlab, C/C++, or similar language. Successful candidates are expected to be highly motivated, have strong communication skills in oral and written English, and work effectively in a multidisciplinary team.

Contact

Thomas B. Wild, twild@umd.edu