Logan, UT, United States 🇺🇸

Position Summary:

The Center for Colorado River Studies seeks a research associate to conduct field research, analyze field data, and prepare reports and publications concerning the Green River in the Canyonlands region. Specific activities include:

  • Collect field topographic survey data
  • Assist in collection of river channel bathymetric data
  • Field geomorphic mapping
  • Interpretation of historical geomorphic data
  • Analysis of all surveying data and development of topographic maps for study areas
  • Preparation of administrative reports
  • Preparation of peer reviewable journal articles

The successful candidate will be self-directed, has strong quantitative and analytical skills, is proficient with surveying data and with various software programs applicable to the analysis of surveying, photographic, and geologic data. The successful candidate must be able to meet deadlines and be organized. The position will require occasional travel to support research and collaborate with partners. Duties will involve day-to-day maintenance of laboratory equipment. 


  • Process multi-beam and RTK-GPS data to create bathymetric digital elevation models (DEMs)
  • Analyze DEMs for change detection
  • Assist in development and application of 1-dimensional and 2-dimensional hydrauilic models
  • Field work to assist current research projects
  • General lab maintenance
  • Prepare written reports summarizing work

Minimum Qualifications:

  • Master’s degree in watershed sciences with an emphasis in fluvial geomorphology, hydrology, or related field
  • At least 2 years of experience working in river monitoring, surveying or a related field
  • Previous experience processing multi-beam sonar data
  • Be proficient in ArcGIS and Microsoft Office
  • Must adhere to University Travel and Driving policies

Preferred Qualifications:

  • Field research on large rivers
  • Experience with Hypack hydrographic survey software
  • Knowledge of geomorphic change detection
  • Hydrodynamic modeling experience
  • Scientific writing
  • Python programming language
  • Previous experience/employment working on similar projects with research agencies