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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 Description

The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable.

Responsibilities:

  • Aid in the development and application of national scale modeling frameworks for water and crop management. Prepare and process large datasets for use in national model assessments conducted with SWAT/SWAT+.

  • Aid in the development of software and tools to support large- and small-scale modeling efforts.

  • Integrating ML/AI with Process based modeling to develop/optimize decision support systems

  • Work effectively within a modeling group comprised of ARS, AgriLife, and other personnel. Actively participate in joint research activities. Effectively manage and complete assigned tasks.

  • Other job-related duties as required.

Required Education and Experience:

Ph.D. in Ecology, Hydrology, Geology, Environmental Science/Engineering, Civil Engineering, or related disciplines with emphasis on surface hydrology or watershed assessment.

Required Knowledge, Skills, and Abilities:

  • Demonstrated publication record in hydrological or water quality 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:

  • Knowledge of computer models on watershed assessment.

  • Knowledge of programming or scripting languages such as Python, Fortran, R or others.

  • Experience in remote sensing data analysis and geographic information system.

  • Experience in machine learning-motivated algorithms and quantitative data analysis.

  • Strong writing and communication skills.

Other Factors:

Position contingent on availability of grant funding

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.

As the largest comprehensive agriculture and life sciences program nationally, Texas A&M AgriLife brings together a college and four state agencies 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, the environment, and the economy of Texas and the nation through education, research, extension and service.If your goal is the pursuit of excellence and your vision is to make a difference in this world, we invite you to explore our opportunities to discover what a career at Texas A&M AgriLife has to offer you.

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

  • Texas A&M AgriLife Extension Service (https://agrilife.tamu.edu/agency/extension-home/)

  • Texas A&M AgriLife Research

  • College of Agriculture and Life Sciences at Texas A&M University (https://agrilife.tamu.edu/agency/college-home/)

  • Texas A&M Forest Service

  • Texas A&M Veterinary Medical Diagnostic Laboratory (https://agrilife.tamu.edu/agency/tvmdl-home/)

    Texas A&M AgriLife collaborates with Prairie View A&M University, Tarleton State University, Texas A&M University-Commerce, Texas A&M University-Kingsville and West Texas A&M University as well as with other public and private partners.

  • Prospective employee benefits

  • Retirement programs

  • Commitment to inclusive excellence (https://agrilife.tamu.edu/about/diversity-inclusion/)

  • Strategic plan

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