Assistant Research Scientist- Ecosystem Modeling
Texas A&M AgriLifeAbout the role
Job Title
Assistant Research Scientist- Ecosystem ModelingAgency
Texas A&M Agrilife ResearchDepartment
TempleProposed Minimum Salary
CommensurateJob Location
Temple, TexasJob Type
StaffJob Description
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences 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, environments and the Texas economy through education, research, extension and service.
Click here to learn more about how you can be a part of AgriLife and make a difference in the world!
Position Information
The Assistant Research Scientist will be responsible for assisting in the development and application of EPIC/APEX model-based soil carbon modeling frameworks for improving agroecosystem sustainability. This position will assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop decision support systems. This position will 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 soil carbon modeling frameworks in APEX/EPIC models.
Aid in the development of GHG modules in SWAT+/APEX/EPIC.
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 Qualifications:
Ph.D. in Ecology, agronomy, Geology, Environmental Science/Engineering, Civil Engineering, or related disciplines with emphasis on soil carbon modeling or agroecosystem assessment.
Some relevant professional experience.
Demonstrated publication record in agronomic/soil carbon 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 Qualifications:
Knowledge of computer models on watershed assessment and/or flood management.
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.
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