Agricultural Decision Intelligence Lead (Asst/Assoc Prof)

University of Florida; Hillsborough Township (NJ); Sur place; USD 90 000 - 140 000; Plein temps

Résumé du poste

University of Florida seeks a tenure-accruing specialist to lead research in decision intelligence for agriculture, focusing on prescriptive AI and autonomous planning. The role emphasizes collaboration across engineering, economics, horticulture, and plant sciences, with an expectation to secure external funding and contribute to Extension and Teaching missions.

The candidate will develop RL, causal inference, and agentic AI systems to transform agricultural data into actionable

Qualifications

• A doctorate in Engineering, Computer Science, Horticultural Sciences or closely related discipline is required.
• Excellent verbal and written communication skills and ability to collaborate and obtain external funding.
• Experience with artificial intelligence, agentic AI, and AI deployment in agriculture is necessary.
• Candidates must support UF's land‑grant mission and core values.

Responsabilités

• Develop and apply prescriptive AI for agriculture; integrate reinforcement learning and causal inference.
• Establish internationally recognized research in AI for agriculture and secure external funding.
• Collaborate with multidisciplinary teams across engineering, economics, entomology, horticulture and more.
• Contribute to undergraduate and graduate education; chair committees and supervise research.
• Translate AI advances into practical tools and workflows for producers and industry.

Connaissances

Verbal and written communication

Collaboration & fundraising

AI deployment in agriculture

Python

C++

PyTorch/TensorFlow

Agent-based modeling

Formation

Doctorate in Engineering or Computer Science or Horticultural Sciences or related field

Outils

Python

C++

PyTorch

TensorFlow

Description du poste

University of Florida seeks a tenure-accruing specialist to lead research in decision intelligence for agriculture, focusing on prescriptive AI and autonomous planning. The role emphasizes collaboration across engineering, economics, horticulture, and plant sciences, with an expectation to secure external funding and contribute to Extension and Teaching missions.

The candidate will develop RL, causal inference, and agentic AI systems to transform agricultural data into actionable