Skip to content

Open nowPosted today

Assistant Professor - AI in Agriculture

tamus184 open roles

Where
Temple, TX
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAssistant Professor - AI in Agriculturetamus · Temple, TX
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on tamus's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. tamus postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted today

tamus median: 4 days open

The posting

Job Title

Assistant Professor - AI in Agriculture

Agency

Texas A&M Agrilife Research

Department

Temple

Proposed Minimum Salary

Commensurate

Job Location

Temple, Texas

Job Type

Faculty

Job Description

About Texas A&M AgriLife

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

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife 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 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 joining AgriLife!

Position Information

Job Summary:

Texas A&M AgriLife Research is seeking an outstanding, innovative, and dynamic individual to fill a 12-month, non-tenure-track faculty position at the rank of Assistant Professor of Artificial Intelligence (AI) in Agriculture. This 100% research appointment will be administratively based at the Blackland Research and Extension Center in Temple, Texas, with academic affiliation in a suitable department such as Soil and Crop Sciences, Biological and Agricultural Engineering, or Ecology and Conservation Biology at Texas A&M University in College Station, TX.

The successful candidate will develop a nationally and internationally recognized, externally funded research program in AI to address critical challenges in agriculture, natural resources, and environmental sustainability by applying machine learning, data science, remote sensing, robotics, and other emerging digital technologies. The position offers opportunities to collaborate with faculty and researchers across Texas A&M AgriLife Research and Extension, the Texas A&M College of Agriculture and Life Sciences, other Texas A&M System agencies, federal partners, and industry.

Research may focus on one or more areas to improve agricultural productivity, resilience, and sustainability, including precision and digital agriculture, crop and livestock systems management, robotics and autonomous systems, intelligent decision support systems, computer vision, sustainable farming, and water and natural resource management.

Responsibilities:

  • Establish and lead a nationally recognized, externally funded, and self-sustaining research program focused on the sustainability, health, productivity, and marketability of agriculture, natural resources, and environmental systems.
  • Conduct interdisciplinary research in AI applications within agriculture and natural resources, addressing critical challenges in research innovation, including:
  • AI and Robotics in Intelligent Farming Systems
  • Smart Agriculture and IoT Integration
  • Precision and Autonomous Agriculture
  • Crop and Livestock Systems Management
  • Sustainable Production Systems
  • Large-Scale Collaborative Research
  • Secure competitive funding from external sources
  • Supervise and mentor postdoctoral associates or research scientists.
  • Supervise student research projects, serve on graduate committees, and mentor students in scholarly activities.
  • Collaborate with faculty, industry partners, and community service providers to ensure research relevance and applicability to stakeholders.
  • Publish research results in peer-reviewed journals and technical reports
  • Share models and tools with relevant stakeholders, land managers, and the broader scientific community.
  • Build institutional capacity in AI research and emerging technologies across the institution and the College of Agriculture and Life Sciences to enhance research and outreach.

Administrative Relationships:

  • Reports directly to the Center Director, Texas A&M AgriLife Research-Blackland, with guidance from the academically affiliated department at Texas A&M University, College Station.
  • Directs the work of support staff, other technical personnel and graduate students assigned to the project.

Qualifications:

Required job qualifications:

  • Ph.D. in AI, Data Science, Agricultural and Biological Engineering, Natural Resources, Soil and Crop Sciences, Agronomy, Computer Science, or a closely related field by hire date. Candidates with a degree in a closely related field must demonstrate a strong academic background or a research program explicitly focused on AI applications in agriculture.
  • Strong background in AI, machine learning, and data analytics as applied to agricultural and environmental systems.
  • Proficiency in programming languages such as Python, R, Java, or C++, and machine learning frameworks/libraries such as Pandas, NumPy, TensorFlow, or PyTorch.
  • Evidence of, or the ability to produce, peer-reviewed publications of original research.
  • Potential to develop research proposals and sustain a funded, high-impact research program.

Preferred job qualifications:

  • Experience developing and applying innovative, data-driven approaches that integrate AI with geospatial analysis, remote sensing, robotics, and related digital technologies applied to agriculture, environmental science and technology, natural resource management, or plant science/biology.
  • Prior academic, post-doctoral, or professional experience.
  • Experience working collaboratively in interdisciplinary teams and engaging with agricultural and environmental stakeholders
  • Grant writing experience and evidence of obtaining external funding through competitive grant programs.

Knowledge, Skills, and Abilities:

  • Excellence in verbal and written communication.
  • Team-building skills, collaboration capacity, and project management abilities.
  • Professional demeanor.
  • Ability to multi-task and establish effective working relationships.
  • Knowledge and understanding of the mission and role of the Land Grant University System.

Location and Facilities:

This position will be affiliated with Texas A&M AgriLife Blackland Research and Extension Center in Temple, TX. The Blackland Research Center and the collocated USDA-ARS Grassland, Soil, and Water Research Laboratory have a long history of modeling cropland and grazing land production and their effects on soil and water resources.

Additional information about Texas A&M AgriLife Research is available at:

Texas A&M AgriLife Research: https://agriliferesearch.tamu.edu/

Texas A&M AgriLife Blackland Research and Extension Center, Temple: https://blackland.tamu.edu/

What You Need to Know

Salary: Compensation is commensurate with the candidate’s qualifications.

Important Notice Regarding H1-B Sponsorship:

Your employment at Texas A&M AgriLife may require nonimmigrant sponsorship. A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Texas A&M AgriLife will NOT pay this fee. If the fee is imposed on your petition, this offer of employment will be revoked. If actions taken during your employment result in the imposition of this fee, your employment will be terminated. To the extent that this statement conflicts with any applicable System or member Policy, Regulation, or Rule, this statement will control. We recommend that you consult with your private immigration counsel at your own expense regarding potential implications.

In addition, on January 27, 2026, Texas Governor Abbott issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.

Benefits and Leave:

  • Health, dental, vision, life and long-term disability insurance (AgriLife contributes to premiums)
  • 12–15 annual paid holidays
  • Up to 8 hours/month sick leave and at least 8 hours/month vacation
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Employee Wellness Initiative
  • Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs

Application Procedure

Applicants must upload a

  • Cover letter (two-page limit)
  • Curriculum vitae including a list of three references and their contact information within the CV
  • Vision statements of research and service (two-page limit).

The application screening process will begin on October 8, 2026, and the position will remain open until a suitable candidate is identified.

Questions:

Address inquiries to Search Committee Chair:

Dr. Jaehak Jeong, Texas A&M AgriLife Blackland Research and Extension Center, Temple

Email: [email protected]

Phone: (254) 774-6118

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against tamus's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on tamus's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    tamus's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.