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Postdoctoral Research Associate

Texas A&M University SystemCollege Station, TXPosted Aug 26, 2026
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Aug 26
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Job description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M Agrilife Research

Department

Animal Science

Proposed Minimum Salary

$4,666.67 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

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

As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife 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 AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

We are seeking a Postdoctoral Research Associate who will play a key role in the Feed Management Committee's educational efforts, focusing on training NRCS personnel and other stakeholders. This role involves developing and delivering workshops, webinars, and online courses to facilitate the adoption of sustainable feeding practices. The successful candidate will design and implement a "Train the Trainers" program to build the capacity of conservation professionals, NRCS field staff, and other technical service providers, including podcasts and training meetings. The successful candidate will also help organize a topical summit focused on feed management, engaging various stakeholders, including policymakers and academia.

Responsibilities:

The incumbent will collaborate with (1) developing and delivering targeted educational programs, including workshops, webinars, and online courses, for NRCS personnel, Extension professionals, and other stakeholders. (2) Design and implement a "Train the Trainers" program to equip NRCS field staff and other conservation professionals with the knowledge and tools to promote feed management tools. (3) Collaborate with the Feed Management Committee and other stakeholders to ensure that training materials align with project goals and the latest scientific research. (4) Create training resources and educational content that can be disseminated via online platforms and in-person workshops. (5) Support the development of outreach and engagement strategies to maximize the adoption of sustainable feed management practices. The successful candidate will have the opportunity to contribute to developing educational outreach materials, mentor undergraduate and graduate students, and participate in grant writing.

Required Qualifications:

A PhD in animal science, soil and crop sciences, agricultural education, or a related field.

Preferred Qualifications:

Desired qualities include multiple species production experience and/or animal nutrition for the feed management expectation. Experience in developing and delivering educational programs, particularly in agriculture or animal science.

Knowledge, Skills, and Abilities:

The ideal candidate will possess strong organizational skills and the ability to work independently and collaboratively. Proven experience in delivering educational content, both online and in-person meetings. Strong collaboration skills and ability to work with multidisciplinary teams. Familiarity with agriculture and feed management practices is preferred.

What You Need to Know

November 1 target hire date.

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

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.

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.

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What applying to Texas A&M University System usually looks like

Based on publicly available information, candidates applying through Workday to Texas A&M University System can typically expect a standard higher-education application process. Applicants generally create a Workday profile, submit a resume, and complete required screening questions or supplemental documents such as cover letters or transcripts. Given the wide variety of roles posted, from administrative and academic positions to skilled trades and public safety, the process may include multiple stages such as an initial application review, a phone or video screening, and one or more interviews with hiring managers or departmental committees. Background checks, reference verification, and sometimes skills assessments are common for many public institution roles. Response times vary depending on department needs and staffing timelines. Candidates should ensure their Workday profile is complete and accurate, as automated system matching commonly influences initial screening outcomes.

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Postdoctoral Research Associate
Texas A&M University System · College Station, TX
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