PhD-level Research Assistantships in Hydrology and Remote Sensing, University of Wisconsin-Madison

University of Wisconsin-Madison
Madison, Wisconsin
See for RA salary information
Nov 01, 2018
Dec 01, 2018
Career Level
Student / Graduate
Education Level
Job Type
Relocation Cost
Sector Type

The Hydroclimate Extremes Research Group ( led by Dr. Daniel Wright within the Department of Civil and Environmental Engineering at the University of Wisconsin–Madison invites applications for 1-2 PhD positions in the fields of flood hydrology and precipitation remote sensing. We will also consider very strong postdoctoral or MS applicants for these positions. Our research themes include:

  • Measurement, modeling, and analysis of extreme rainfall at high resolution using a variety of sources including rain gages, ground-based weather radar, satellite-based sensors, and numerical weather and climate models.
  • Understanding the role of rainfall and soil moisture variability and structure and their interactions with watershed properties to produce floods at a wide range of scales using high-resolution multi-scale supercomputer-based watershed models.
  • Interfacing with meteorologists and climate scientists to translate projected changes in extreme precipitation from regional and global climate models into projections of future risks.
  • Developing practical tools for improved probabilistic rainfall and flood hazard and risk estimation, including in urban areas, ungaged watersheds, and developing countries.

1-2 positions are available, to commence in Fall 2019:

Multiscale Connections Between Rainfall and Flood Response

Understanding current and future flood risks requires better understanding of their underlying physical drivers. The selected candidate will support research on the multiscale flood structure and its connections to rainfall, watershed features, and initial conditions. Strong interests and skills in probability and statistics, programming, and distributed hydrologic modeling are desired.

Satellite Precipitation Uncertainty Modeling and Applications

Satellite precipitation estimates are subject to substantial uncertainties, which are difficult to estimate in data-limited regions. The selected candidate will support research on error estimation and its incorporation into hazard models. Strong interests and skills in probability and statistics, remote sensing, programming, and hydrologic modeling are desired.


Please contact Dr. Wright by email ( for additional information.  Priority will be given to applications submitted by January 15, 2019.