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Crop Modeling Jobs in Texas (NOW HIRING)

... for vegetable crops and will assist Dr. Subas Malla in managing the logistics, reporting ... models to standardize and improve outputs, e.g., workflow diagrams, policies and procedures ...

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Crop Modeling information

See Texas salary details

$45.2K

$59.4K

$68K

How much do crop modeling jobs pay per year?

As of Jul 27, 2026, the average yearly pay for crop modeling in Texas is $59,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $63,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Crop Modeling?

Professionals in Crop Modeling typically spend their days designing and running simulations, analyzing data from field trials or remote sensing, and refining models to predict crop growth under various environmental conditions. Collaborating with agronomists, data scientists, and farmers is common to ensure models reflect real-world variables and are practical for field application. Additionally, they may present findings through reports or presentations, participate in multidisciplinary research projects, and stay updated on advancements in agricultural technology. This variety ensures each day offers unique challenges and opportunities to impact agricultural outcomes.

What are the key skills and qualifications needed to thrive in the Crop Modeling position, and why are they important?

To thrive in Crop Modeling, you need a solid background in agricultural science, data analysis, and mathematical modeling, often requiring an advanced degree in agronomy, environmental science, or a related field. Familiarity with crop simulation software (like DSSAT or APSIM), programming languages such as Python or R, and GIS tools is commonly expected. Strong problem-solving skills, attention to detail, and effective collaboration are key soft skills that enhance performance in this role. These skills are crucial for developing reliable models that inform decision-making in agriculture and support sustainable crop management practices.

What is a Crop Modeling job?

A Crop Modeling job involves developing and using computer-based models to simulate plant growth, yield, and environmental interactions. Professionals in this field analyze data related to weather, soil, and crop management to predict agricultural outcomes and optimize farming practices. They work closely with agronomists, researchers, and policymakers to improve food production efficiency and sustainability. This role typically requires expertise in agronomy, data science, and programming.

What are the most commonly searched types of Crop Modeling jobs in Texas? The most popular types of Crop Modeling jobs in Texas are:
Infographic showing various Crop Modeling job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $59,420 per year, or $28.6 per hour.

Postdoctoral Researcher - NRCS

Tamus

Prairie View, TX

Full-time

Posted 28 days ago


Job description

Job Title

Postdoctoral Researcher - NRCS

Agency

Prairie View A&M University

Department

Adloc Cooperative Agriculture And Research Center

Proposed Minimum Salary

Commensurate

Job Location

Prairie View, Texas

Job Type

Staff

Job Description

The Postdoctoral Researcher will be pivotal in environmental stressor mapping and research activities to enhance extension and outreach efforts. Responsibilities include identifying and developing stressor maps, establishing a demonstration research testbed on the PVAMU Research farm, and implementing climate-smart production practices on selected farms. Additionally, the Coordinator will educate stakeholders, including farmers, on climate-smart resiliency and environmental benefits, and conduct flood, drought, and soil loss analyses at county and farm levels. They will assist in field and laboratory experiments to quantify carbon sequestration potentials and collect data on environmental stressors. Other duties involve manuscript development, grant proposal writing, participation in extension activities, collaboration with fellow researchers, and support for undergraduate and graduate students. This role also entails assisting principal and co-investigators and contributing to the university's commitment to teaching, research, and service excellence.

This position is funded by a grant or restricted funds. Continued employment is contingent on the renewal of grant or restricted funding.

Responsibilities:

  • Lead USDA-NRCS funded project

  • Assist the principal investigator in ongoing research projects (experimental and modeling) related to hydrology, flood, drought, soil erosion and field experiments

  • Assist with the spatial data downscaling, prediction, evaluation, and impacts of land use/cover changes on eco-hydrologic processes, irrigation, and nutrient best management practices for sustainable use of natural resources.

  • Provide leadership and participation in in-situ data collection and analysis for modeling.

  • Assist in writing research reports, manuscripts, and grants, and present results at scientific meetings.

  • Performs other duties as assigned.

Required Knowledge, Skills, and Abilities:

  • Experience in hydrological modeling, flood modeling, GIS, carbon, and crop modeling

  • Excellent verbal and written communication skills.

  • Strong quantitative and programming experience in R, Python, C, C++ and/or comparable languages.

  • Strong numerical modeling and analytical and statistical skills.

  • Strong interest in working with multidisciplinary teams.

Required Education and Experience:

  • A Ph.D. in earth science, geography, eco-hydrology, civil engineering, geosciences, agricultural engineering, or any other relevant academic field emphasizing remote sensing, carbon dynamics, climate change eco-hydrology.

  • No prior experience required.

Preferred Qualifications:

  • A Ph.D. in earth science, eco-hydrology, civil engineering, geosciences, agricultural engineering, or any other relevant academic field emphasizing carbon dynamics, climate change eco-hydrology and its impact assessment, and natural resource management.

  • 1-3 years of related work experience.

  • Artificial Intelligence (AI) and Machine Learning (ML).

  • Considerable experience in hydrology, flood-drought analysis, carbon dynamics, climate change, spatial data analysis, laboratory analytical techniques, field research design, and project implementations at different scales (field and watershed).

  • Interested in hydrology/flood modeling, carbon modeling, and crop modeling.

  • Strong record of peer-reviewed publications and experience preparing grant proposals.

  • Able to work with and train undergraduate and graduate students.

Job Posting Close Date:

  • Until Filled

Required Attachments:

Please attach all required documents listed belowin the attachment box labeled as either "Resume/CV or Resume/Cover Letter" on the application. Multiple attachments may be included in the "Resume/CV" or Resume/Cover Letter" attachment box. Any additional attachments provided outside of the required documents listed below are considered optional.

  • Resume or Curriculum Vitae

  • Cover Letter

Application Submission Guidelines:

All applicants are required to apply via our Career Site on or before the closing date indicated on the job posting. Applicant inquiries received via email and websites such as Indeed, HigherEdJobs, etc. will not be considered unless the individual has applied to the available position via thePVAMUCareer site.

The required documents listed in the above "Required Attachments" section must be attached to the application prior to the job closing date indicated to ensure full consideration for the application submitted. Please contact the Office of Human Resource on or before the closing date indicated above at 936-261-1730 or jobs@pvamu.edu should you need assistance with the online application process.

Background Check Requirements:

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.