Assistant Professor – Phenomics Applied to Plant Breeding
uasys · University of Arkansas
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).
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Published 6 hours ago
Expires 1 month from now
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uasys
University of Arkansas
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