Post Doctoral Scholar
Core
Conduct research at the intersection of sensor data collection, machine learning, and remote sensing to advance precision agriculture and crop science.
Role type
Postdoctoral Research Associate (Agricultural Engineering/Data Science)
Builds
Advanced machine learning models for crop phenotyping, custom ground-based sensing platforms, and real-time agricultural decision-making tools.
Domain
Agriculture + Machine Learning + Remote Sensing
Deliverable
production ML models | product features | research
Required skills
Machine learning model development, spatial and temporal data analysis, Python/R programming, scientific writing, project management
Preferred skills
UAS/satellite remote sensing experience, GIS, agricultural production systems knowledge, crop phenotyping, sensor integration, field experiment design, grant proposal development
Technologies
Python, R, UAS, satellite imagery, GIS, ground-based sensors
Responsibilities
Develop and implement ML approaches for quantifying crop traits; design and deploy ground-based sensing platforms; plan and conduct field experiments; publish research findings and prepare manuscripts; mentor graduate and undergraduate students
Seniority
Postdoctoral Scholar (Research Associate)