Assistant Professor in Phenomics Applied to Plant Breeding

About the role

The University of Arkansas Division of Agriculture seeks a tenure‑track Assistant Professor (80% research, 20% teaching) to lead a cutting‑edge research program in phenomics applied to plant breeding.

Key responsibilities

• Develop and lead high‑throughput phenotyping research using UAVs, robotics, multispectral/hyperspectral imaging, LiDAR, and satellite systems.
• Apply AI, machine learning, statistical modeling, and computer vision to extract traits and improve selection decisions across multiple crops.
• Collaborate with breeders in soybean, rice, fruits, vegetables, and wheat, and secure extramural funding.
• Teach undergraduate and graduate courses in remote sensing, phenomics, or data analytics and mentor graduate students.

Required profile

• Ph.D. in plant science, engineering, computer science, or a related field.
• Strong record of research productivity and potential to obtain external funding.
• Experience working with interdisciplinary teams and breeding programs.

Required skills

• High‑throughput phenotyping platforms (UAV, robotics, ground‑based systems).
• Multispectral, hyperspectral, LiDAR, and satellite imaging.
• Artificial intelligence, machine learning, statistical modeling, computer vision.