Agentic AI Scientist: Crop Design & Prediction

The University of Georgia; Athens (GA); On-site; USD 55,000 - 70,000; Full time

Job summary

The University of Georgia invites applications for a Post-Doctoral Associate in the Pickering Lab to develop agentic AI systems for designing, predicting, and optimizing agricultural outcomes across crops, environments, and management regimes. The role sits at the intersection of applied mathematics, machine learning, genomics, crop science, and dynamical systems.

You will build agents for genomics prediction, AI-enabled crop growth models, and scientific workflows, collaborating with an

Qualifications

• Strong background in dynamical systems, ML, and probabilistic modeling.
• Expertise in representation learning for sequences/graphs and uncertainty quantification.
• Experience with scientific programming in Python and reproducible pipelines.

Responsibilities

• Develop agentic AI systems for genomics prediction and breeding applications.
• Create AI‑native crop growth models integrating multi‑source data.
• Design, run, and evaluate end‑to‑end scientific workflows with human‑in‑the‑loop evaluation.

Skills

Dynamical systems

Machine learning

GNNs / sequence models

Probabilistic modeling

Python programming

Tools

Python

Docker

Job description

The University of Georgia invites applications for a Post-Doctoral Associate in the Pickering Lab to develop agentic AI systems for designing, predicting, and optimizing agricultural outcomes across crops, environments, and management regimes. The role sits at the intersection of applied mathematics, machine learning, genomics, crop science, and dynamical systems.

You will build agents for genomics prediction, AI-enabled crop growth models, and scientific workflows, collaborating with an