Geospatial Analyst

Texas A&M University SystemTemple, TX
Onsite

About The Position

The Geospatial Analyst will conduct research on remote sensing and machine learning to develop models that produce spatial data products required for large-scale agricultural systems modeling.

Requirements

  • Bachelor’s degree in Data Science, Environmental Science/Engineering, or related field. Four years of related experience. Or, Master's degree in Data Science, Environmental Science/Engineering, or related field. Two years of related experience.
  • Experience working on spatial data processing using ArcGIS, R, and/or Python.
  • Experience in building, training, and deploying machine learning models.
  • Experience working with satellite remote sensing data and data mining techniques.
  • Strong oral and written communication skills.
  • Ability to multi-task and work cooperatively with others.

Nice To Haves

  • Experience working in the Unix/Linux environment.
  • Expertise in data assimilation techniques.

Responsibilities

  • Develop and improve machine learning models for estimating crop biophysical properties using satellite remote sensing datasets.
  • Implement spatial and remote sensing data processing algorithms to produce datasets to integrate and/or assimilate into crop models.
  • Assist with literature review, reports, and publishing research findings in peer-reviewed journals.
  • Performs other duties as assigned.

Benefits

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife
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