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Postdoctoral Research Associate

Job in Temple, Bell County, Texas, 76502, USA
Listing for: Texas A&M AgriLife Research
Full Time position
Listed on 2026-06-01
Job specializations:
  • Research/Development
    Research Scientist, Biotechnology
Job Description & How to Apply Below
Job Title

Postdoctoral Research Associate

Agency

Texas A&M Agrilife Research

Department

Temple

Proposed Minimum Salary

Commensurate

Job Location

Temple, Texas

Job Type

Staff

Job Description

About Texas A&M Agri Life

Texas A&M Agri Life is comprised of the following Texas A&M University System members:

* Texas A&M Agri Life Extension Service

* Texas A&M Agri Life Research

* College of Agriculture and Life Sciences at Texas A&M University

* Texas A&M Forest Service

* Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M Agri Life brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M Agri Life is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

to learn more about how you can be a part of Agri Life and make a difference in the world!

Position Information

Postdoctoral Research Associate in Agricultural, Animal, Rangeland, or Environmental Sciences

Location:

Texas A&M Agri Life Research, Temple, Texas

Project:
Enhancing APEX for simulating environmental and economic impacts of CAFO operations using the APEX model, funded by USDA-NRCS.

Texas A&M Agri Life Research is seeking a highly motivated and innovative Postdoctoral Research Associate to support a USDA-funded project evaluating concentrated animal feeding operations (CAFOs) and manure management systems using the APEX agroecosystem model. The successful candidate will contribute to the enhancement, integration, and evaluation of model components for farm-scale carbon and nitrogen cycling across various livestock and manure management practices.

Responsibilities:

* Conduct comprehensive literature reviews and gap analyses on regenerative animal production systems, manure management in CAFOs, and C-N cycling in soils, vegetation, manure, and livestock.

* Acquire, curate, and analyze field measurement datasets and associated environmental and economic information for model parameterization and validation.

* Develop or enhance model algorithms simulating carbon and nutrient budgets under varying manure housing and management practices using scientific programming languages.

* Implement newly developed modules and improvements into the APEX ecosystem simulation model.

* Assess agroecosystem C-N cycling dynamics influenced by concentrated ruminant‑livestock operations and changing environmental conditions.

* Evaluate and refine the performance of the enhanced model across various dairy systems and livestock/grazing management scenarios.

* Document model development processes and disseminate research findings through peer-reviewed publications and technical reports.

* Performs other duties as assigned.

Required Qualifications:

* Ph.D. in Agricultural Sciences, Animal Science, Rangeland Management, Environmental Sciences, or a closely related discipline.

* Demonstrated record of peer-reviewed publications.

* Experience in designing, analyzing, and interpreting data from field studies.

* Strong project management and technical writing capabilities.

* Ability to work both independently and collaboratively.

* Strong organizational skills and ability to manage multiple tasks simultaneously.

* Ability to multi-task and work cooperatively with others.

Preferred Qualifications:

* Proficient understanding of factors governing carbon and nitrogen cycling in farm-scale CAFO operations.

* Prior experience with process-based models such as EPIC, APEX, RUFAS, BCSM, GLEAM, or similar simulation frameworks.

* Proficiency in scientific programming (e.g., Python, Fortran) for data processing, model development, and computational analysis.

What You Need to Know

Salary:
Compensation for this position is commensurate based on the selected candidate's qualifications.

Position Funding:
This position is contingents on performance and availability of funding. Continuation of the position is contingent upon ongoing funding.

Applicant Instructions:
Applications received by Texas A&M Agri Life must either have all job…
Position Requirements
10+ Years work experience
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