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Assistant Professor – Phenomics Applied to Plant Breeding

uasys · University of Arkansas

New
🇬🇧 English
UAV robotics hyperspectral imaging LiDAR machine learning statistical modeling computer vision

Job description

About the role

The University of Arkansas Division of Agriculture seeks a tenure‑track Assistant Professor to lead a research program in phenomics for plant breeding. The position combines 80% research with 20% teaching and is part of a cluster hire focused on multi‑omics integration and data analytics.

Key responsibilities

  • Develop and lead cutting‑edge research in high‑throughput phenotyping, sensor integration, and AI‑driven trait extraction for multiple crops.
  • Collaborate with breeders in soybean, rice, fruits, vegetables, and wheat to embed phenomics outputs into selection pipelines.
  • Secure extramural funding from federal agencies, commodity boards, and industry partners.
  • Teach one undergraduate and one graduate course annually in remote sensing, phenomics, or related data‑analytics topics.

Required profile

  • Ph.D. in plant science, agronomy, engineering, computer science, or a related field.
  • Demonstrated ability to develop interdisciplinary research programs and publish in peer‑reviewed journals.
  • Experience mentoring graduate and undergraduate students.

Required skills

  • High‑throughput phenotyping platforms (UAVs, robotics, ground‑based systems).
  • Multispectral, hyperspectral, LiDAR, and satellite imaging.
  • Artificial intelligence, machine learning, statistical modeling, and computer vision for trait extraction.
  • Data analytics and high‑performance computing (e.g., Arkansas HPC cluster).

Questions fréquentes

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Source : ats:workday

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Published 6 hours ago

Expires 1 month from now

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uasys

University of Arkansas