Post-doctoral Associate

University of Maryland, College Park

College Park, Maryland, United States
Base: $85,000 - $95,000; bonus/equity: not specifi...
Fully remote
Ph.d. in remote sensing or related field
Strong python programming skills
Machine learning applied to geospatial problems
The position focuses on research at the intersection of satellite remote sensing, crop modeling, machine learning, and food security

Job Summary

  • The position focuses on research at the intersection of satellite remote sensing, crop modeling, machine learning, and food security.
  • Candidates will integrate process-based crop simulation models with data-driven approaches to support national governments and international organizations.
  • The role offers collaboration with an international network including FAO, Microsoft AI for Good, and NASA Harvest Consortium members.

Matching Summary

The position focuses on research at the intersection of satellite remote sensing, crop modeling, machine learning, and food security.

Salary

Base: $85,000 - $95,000; Bonus/Equity: Not specified; Benefits: Regular Faculty benefits available

Skills & Requirements

Must-have

  • Ph.D. in remote sensing or related field
  • Strong Python programming skills
  • Machine learning applied to geospatial problems

Nice-to-have

  • Experience with process-based crop simulation models
  • Knowledge of Google Earth Engine cloud platform
  • Ability to work with large geospatial datasets

Key Requirements

  • Ph.D. degree required
  • Demonstrated expertise in deep learning
  • Experience with scientific computing workflows

Work Rights

Not specified

Tailored Resume

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