Job Information
Texas A&M University Assistant Research Scientist in United States
Job Title
Assistant Research Scientist
Agency
Texas A&M Agrilife Research
Department
Temple
Proposed Minimum Salary
Commensurate
Job Location
Temple, Texas
Job Type
Staff
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:
Aids 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+.
Aids in the development of software and tools to support large- and small-scale modeling efforts.
Integrates ML/AI with Process-based modeling to develop/optimize decision support systems
Works effectively within a modeling group comprised of ARS, AgriLife, and other personnel. Actively participates in joint research activities. Effectively manages and completes 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.
Relevant professional experience.
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 systems.
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.