Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Texas A&M University Postdoctoral Research Associate in United States

Job Title

Postdoctoral Research Associate

Agency

Texas A&M Agrilife Research

Department

Temple

Proposed Minimum Salary

Commensurate

Job Location

Temple, Texas

Job Type

Staff

Job Description

Job Opportunity: Postdoctoral Research Associate in Agricultural Sciences, Agronomy, or Environmental Sciences with a strong background in process-based modeling.

Job Description:

Texas A&M AgriLife Research, located in Temple, Texas, is seeking a postdoctoral research associate. We seek an innovative and highly motivated candidate to contribute to enhancing and evaluating soil organic carbon (SOC) and greenhouse gas (GHG) emission modeling in the multi-scale EPIC/APEX/SWAT agroecosystem models for climate and conservation assessment.

Responsibilities:

  • Acquire observational data from multiple sources, including field experiments such as long-term agricultural research (LTAR) sites, GRACENET sites, USDA Agricultural Resource Management Survey (ARMS), and the USDA CEAP project to produce datasets to integrate and/or assimilate into the models.

  • Support improving and evaluating carbon cycling pathways, including CH4 emissions in the agroecosystem models.

  • Work closely with the CEAP Modeling Team of the USDA-NRCS Resource Inventory and Assessment Division Resource Assessment Branch to assess conservation and management impacts on SOC and GHG emissions, such as CO2, N2O, and CH4.

  • Coordinate collaboration with USDA-ARS scientists and other participants in the IRA-funded Interagency Conservation Practices Data Team.

  • Assess the quantitative benefits of selected conservation practices on SOC sequestration and GHG emission by applying enhanced agroecosystem models.

  • Conduct literature review and report/ and publish research findings in peer-reviewed journals.

  • Performs other duties as assigned.

Required Education and Experience:

  • Ph.D. degree in Agricultural Engineering, Civil and Environmental Engineering, Soil and Crop Sciences, Earth and Environmental Sciences, or related fields emphasizing agroecosystem modeling and assessment.

Required Knowledge, Skills, and Abilities:

  • Demonstrated publication record in agroecosystem modeling and analysis.

  • Interdisciplinary teamwork skills with researchers across different disciplines.

  • Flexibility to perform work in a team or individually with supervision.

  • Good communication, interpersonal skills, professionalism, and competency.

  • Ability to multi-task and work cooperatively with others.

Preferred Knowledge, Skills, and Abilities:

  • Proficient understanding of agroecosystem, watershed hydrology, soil-plant-water relations, and soil carbon dynamics.

  • Prior solid experience with process-based models, particularly EPIC/APEX/SWAT, DayCent, or DNDC agroecosystem models.

  • Proficiency in computer programming, such as scripting using Python, Fortran, or other computing tools for data processing and modeling.

Other Factors:

This position is grant funded and availability is contingent on grant funding. Initial appointments and extensions are subject to performance and funding availability.

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/Affirmative Action/Veterans/Disability Employer.

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