Postdoctoral Research Associate

Postdoctoral Research Associate

Texas A&M AgriLife 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.

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 AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

Required Documents: CV/ resume, cover letter, list of references, and certifications/ additional documentation, if applicable.

Why Work at Texas A&M AgriLife?

When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

• Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Employee Wellness Initiative for Texas A&M AgriLife

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.