Post-Doctoral Associate - Pickering Lab

University of Georgia; Athens (GA); On-site; USD 70,000 - 100,000; Full time

Job summary

The University of Georgia seeks a qualified professional to develop Agentic AI systems for agricultural design and prediction. This role involves architecting agent workflows for genomics and crop modeling, as well as creating reproducible benchmarks and datasets.

The position also includes opportunities for career development, such as publishing papers and mentoring students. The University of Georgia is committed to diversity and equal opportunity in employment.

Responsibilities

• Develop Agentic AI systems for agricultural design & prediction.
• Create benchmarks, datasets, and evaluation protocols.
• Engage in career development and scholarly dissemination.

Job description

Duties and Responsibilities

• Develop Agentic AI systems for agricultural design & prediction
  • Architect agent workflows (data/literature ingestion, model evaluation, iteration) for genomics and crop modeling.
  • Foundation-model or representation‑learning approaches for genotype/sequence/omics; uncertainty‑aware prediction; decision support for selection.
  • Hybrid mechanistic + learned models; neural ODEs/ constrained learning; spatiotemporal modeling across GOEOM.

  70%

• Create benchmarks, datasets, and evaluation protocols
  • Reproducible benchmarks across crops, environments, and tasks; rigorous ablations; robustness & generalization testing.

  15%

• Career development & scholarly dissemination
  • Papers, talks, open‑source releases, mentoring students, and participating in interdisciplinary collaborations.

  15%

The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ([e-mail]).