Texas A&M University - Temple, TX

posted 2 months ago

Full-time - Entry Level
Temple, TX
1,001-5,000 employees
Educational Services

About the position

The Postdoctoral Research Associate at Texas A&M AgriLife Research is responsible for assisting in the development and application of national scale modeling frameworks for water and crop management. This role focuses on downscaling and bias correction of projected climate datasets, working collaboratively with a team of ecosystem modeling scientists to conduct research and develop decision support systems.

Responsibilities

  • Statistical downscaling and bias correction of climate datasets.
  • Aid in the development and application of national scale modeling frameworks for water and crop management.
  • Prepare and process large datasets for use in national model assessments conducted with EPIC/SWAT/SWAT+ models.
  • Aid in the development of software and tools to support large- and small-scale modeling efforts.
  • Work effectively within a modeling group comprised of ARS, AgriLife, and other personnel.
  • Actively participate in joint research activities.
  • Effectively manage and complete assigned tasks.
  • Other job-related duties as required.

Requirements

  • Ph.D. in Ecology, Hydrology, Geology, Environmental Science/Engineering, Civil Engineering, or related disciplines with emphasis on surface hydrology or watershed assessment.
  • Demonstrated publication record.
  • Interdisciplinary teamwork skills with researchers across different disciplines.
  • Flexibility to perform work in a team or individually with supervision.
  • Good communication, interpersonal skills, professionalism, and competency.
  • Ability to multi-task and work cooperatively with others.

Nice-to-haves

  • Knowledge of computer models on watershed assessment.
  • Knowledge of programming or scripting languages such as Python, Fortran, R or others.
  • Experience in remote sensing data analysis and geographic information system.
  • Experience in machine learning motivated algorithms and quantitative data analysis.
  • Strong writing and communication skills.

Benefits

  • Retirement programs
  • Commitment to inclusive excellence
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