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
The Postdoctoral Research Associate is responsible for assisting in the development and application of national scale modeling frameworks for water and crop management, especially with downscaling and bias correction of projected climate datasets.
The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem model-based research and develop decision support systems. The candidate is expected to have familiarity with projected climate datasets and experience of statistical downscaling and bias correction of the datasets.
Responsibilities:
- Statistical downscaling and bias correction of climate datasets.
- 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 EPIC/SWAT/SWAT+ models.
- Aid in the development of software and tools to support large- and small-scale modeling efforts.
- 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.
- 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.
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.
