Post-Doc: High-Throughput Phenotyping & Drone Sensing

Ugajobsearch

Tifton (GA)

On-site

USD 60,000 - 75,000

Full time

9 days ago

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

The University of Georgia invites applications for a Post-Doctoral Associate in the CAES-Horticulture department to lead high-throughput phenotyping using DASH and BenchBot. You will coordinate phenotyping activities, operate platforms, and develop QA/QC procedures to ensure data accuracy.

The role includes processing phenotypic data, delivering breeder-ready products, collaborating with breeders and interdisciplinary teams, and contributing to publications and grant-related activities.

Qualifications

Ph.D. in Remote Sensing, GIS, Geography, Agricultural Engineering, Agronomy, Plant Sciences, Data Science, Environmental Science, or a closely related discipline.
Demonstrated expertise in UAS remote sensing and geospatial analytics applied to agriculture, phenotyping, or field research.
Proficiency with GIS software and developing reproducible analytical pipelines.

Responsibilities

Coordinate phenotyping activities, operate and maintain DASH and BenchBot platforms, ensuring QA/QC of data.
Process, analyze, and interpret phenotypic datasets; deliver breeder-ready phenotyping products.
Collaborate with breeders, faculty, and interdisciplinary teams; contribute to publications and grant activities.