UO
Postdoc Position

Post-Doctoral Associate - Pickering Lab

Deadline
Mar 04, 2027
Closing in 136 days
Location
N/A
United States
Employment
None
Full time
Reference
N/A
Posted Sep 08, 2026

About the role

Post-Doctoral Associate - Pickering Lab

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button.

If you would like to bookmark this position for later review, click on the Bookmark link. If you would like to print a copy of this position for your records, click on the Print Preview link.

Bookmark this Posting Print Preview Apply for this Job Posting Details

Position Details

Posting Number G/R32483P

Working Title Post-Doctoral Associate - Pickering Lab Department CAES-Crop & Soil Sciences About the University of Georgia Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university (https: // www. uga.edu/). The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine. About the College/Unit/Department College/Unit/Department website Employment Type Employee Additional Schedule Information Monday through Friday 8AM-5PM. Occasional travel for conferences. Advertised Salary Commensurate with Experience Anticipated Start Date 06/01/2026 Posting Date 03/19/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants Location of Vacancy Athens Area EOO Statement 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 ([email protected]). USG Core Values Statement The University System of Georgia is comprised of our 25 institutions of higher education and learning, as well the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 08.02.18.01.02.

Additionally, USG supports Freedom of Expression as stated in Board Policy 06.05 Freedom of Expression and Academic Freedom.

Duties/Responsibilities

Duties/Responsibilities Develop Agentic AI systems for agricultural design & prediction

  • Architect agent workflows (data/literature ingestion → modeling → 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 G×E×M.
  • Percentage of time 70 Duties/Responsibilities Create benchmarks, datasets, and evaluation protocols

  • Reproducible benchmarks across crops, environments, and tasks; rigorous ablations; robustness + generalization testing.
  • Percentage of time 15 Duties/Responsibilities Career development & scholarly dissemination

  • Papers, talks, open-source releases, mentoring students, and participating in interdisciplinary collaborations.
  • Percentage of time 15

    Position Details

    Position Information

    Classification Title Post-Doctoral Associate AD

    FLSA Exempt UGA Job Code FTE 1.00 Minimum Qualifications Position Summary Agentic AI is rapidly changing nearly every domain, from academia to industry. Agriculture is no different. These postdoctoral opportunity will look to research and build agentic scientific AI systems that can design, predict, and optimize agricultural outcomes—across crops, environments, and management regimes. We are seeking a Postdoctoral Associate to develop the next generation of Agentic AI for Agricultural Design and Prediction , spanning:

  • Genomics agents that assemble AI-native genomic prediction and selection models (e.g., DNA foundation-models, GNN/sequence architectures for breeding decisions, pangenomic models).
  • Crop Growth Model agents that create AI-native crop growth models —including Bio-Informed Neural Networks (BINNs) and hybrid dynamical systems that fuse mechanistic constraints with large-scale data.
  • Scientific agent workflows that can ingest literature + datasets, propose modeling choices, run experiments, quantify uncertainty, and iteratively improve models with human-in-the-loop evaluation.
  • This role sits at the intersection of applied mathematics, machine learning, genomics, crop science, and dynamical systems, and will be carried out in a highly interdisciplinary team environment.

    Potential Focus Areas

  • Agentic Genomics for Prediction & Selection: Build agents that can automatically construct, evaluate, and adapt genomic/pangenomic/editing prediction pipelines (from raw genotypes/omics to breeding-value predictions), including modern representation learning and uncertainty-aware decision support.
  • Agentic AI Crop Growth Models (AI-CGMs) : Develop hybrid modeling agents that learn AI-native CGMs (e.g., BINNs; constrained neural ODEs; spatiotemporal models) integrating genomics, phenomics, physiology, weather, soils, remote sensing, and management data.
  • What Success Looks Like (12–24 months)

  • A working agentic modeling stack demonstrated on at least one “end-to-end” crop use case (e.g., data → genomics predictions + AI-CGM → intervention suggestions with uncertainty).
  • Publications in top venues (ML for science, computational biology, agronomy/crop modeling) and public releases of code/benchmarks.
  • Clear pathways to stakeholder deployment (breeders, agronomists, extension, or industry R&D).
  • Relevant/Preferred Education, Experience, Licensure, Certification in Position Mathematical + computational depth, especially one or more of:

  • Dynamical systems, scientific computing, numerical methods, optimization
  • Probabilistic modeling / Bayesian methods / uncertainty quantification
  • Representation learning for sequences/graphs; geometric deep learning
  • Proficiency (or strong interest) in any of:

  • Genomics, quantitative genetics, genomic prediction, GWAS, multi-omics integration
  • Crop growth modeling, ecophysiology, spatiotemporal modeling, remote sensing + agronomy
  • Agentic AI / tool-using LLM systems / workflow orchestration for science
  • Knowledge, Skills, Abilities and/or Competencies Candidates should have strength in several of the following:

  • Machine learning / deep learning; LLMs, GNNs , sequence models; hybrid modeling
  • Linear algebra, optimization, probabilistic modeling, experimental design, active learning
  • Scientific programming in Python (other languages a bonus); building maintainable, open-source codebases and reproducible pipelines (containers, workflows, benchmarking)
  • Ability to collaborate across disciplines and communicate clearly with both technical and domain audiences
  • Physical Demands Lifting 25 lbs, prolonged sitting at office desk. Is this a Position of Trust? Yes Does this position have operation, access, or control of financial resources? No Does this position require a P-Card? No Is having a P-Card an essential function of this position? No Is driving a requirement of this position? No Does this position have direct interaction or care of children under the age of 18 or direct patient care? No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications) Yes Background Investigation Policy Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website.

    Contact Information

    Recruitment Contact

    Contact Details For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below.

    Recruitment Contact Name Ethan Pickering Recruitment Contact Email [email protected] Recruitment Contact Phone

    Posting Specific Questions

    Required fields are indicated with an asterisk ().

    Applicant Documents

    Required Documents

  • Resume/CV
  • Sample Publications
  • Optional Documents

  • Cover Letter
  • List of References with Contact Information
  • Other Documents #1
  • How to apply

    Read the full posting, then apply through the employer's own site. Applications are handled by the institution, not by AcademicGates.