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Postdoctoral Research Associate
Job in
Temple, Bell County, Texas, 76502, USA
Listed on 2026-06-01
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
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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