Jobs · Information Technology · Alabama

Research Associate IV, Step 1-4

UAH College of Business · Alabama, United States · 2 mo ago
Information Technology$63k–$78k/yrFull-time

Duties / Responsibilities

  • Supervise a team for Hydrology oversight.
  • Lead implementation and evaluation of process-based hydrologic and land surface models (LSMs) for regional applications.
  • Aid in streamflow simulation, watershed-scale water balance analysis, and surface water budget assessments.
  • Contribute to model parameterization, calibration, and validation using in situ observations (e.g., USGS streamflow gauges, soil moisture networks) and gridded datasets.
  • Process and analyze meteorological forcing data and remotely sensed observations relevant to hydrologic applications.
  • Lead drought and flood assessment activities relevant to the Alabama Office of the State Climatologist.
  • Contribute to technical documentation, reporting, and peer-reviewed publications.
  • Collaborate with interdisciplinary teams and external stakeholders as needed.

Minimum Requirements

  • Bachelor’s degree (BS) in Hydrology, Civil or Environmental Engineering, Earth System Science, Atmospheric Science, or a closely related field.
  • At least 3.75 to 5.25 years of verifiable, full-time work experience.
  • Strong foundational knowledge of hydrologic processes, including runoff generation, infiltration, evapotranspiration, soil moisture dynamics, and watershed hydrology.
  • Experience with scientific programming (e.g., Python, MATLAB, R, or similar).
  • Familiarity with handling geospatial and gridded datasets (e.g., NetCDF, GeoTIFF).
  • Ability to work independently and collaboratively in a research environment.

Desired Qualifications

  • Master’s degree (MS) in Hydrology, Civil or Environmental Engineering, Earth System Science, or related field is preferred.
  • Experience with process-based hydrologic or land surface models (e.g., VIC, LIS, Noah-MP, or comparable frameworks).
  • Experience with streamflow model calibration and evaluation metrics (e.g., NSE, bias, RMSE).
  • Familiarity with meteorological forcing datasets (e.g., NLDAS, reanalysis products, gridded precipitation).
  • Experience working in Linux/HPC environments.
  • Strong written and verbal communication skills.

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