A prestigious university in South Carolina is seeking a highly motivated Postdoctoral Research Associate to advance crop modeling for rice at various scales. The role involves leading model calibration and validation using DSSAT and requires a PhD in a related field. Candidates should have a strong research background, excellent communication skills, and programming ability. This position aims to integrate data into meaningful outputs for stakeholders, contributing significantly to agricultural science research.
Qualifications
PhD degree required at the time of application.
Demonstrated experience with process-based crop models.
Strong record of refereed publications.
Responsibilities
Lead calibration, validation, and applications of crop models.
Quantify yield and climate risk using historical observations.
Develop decision-focused products for growers and stakeholders.
Skills
Process-based crop models
Analyzing climate datasets
Strong oral and written communication skills
Ability to work independently and in teams
Programming skills (Python, Fortran)
Education
PhD in Agricultural Engineering, Agronomy, Environmental Science, or related field
Tools
DSSAT (CERES-Rice)
GIS
Remote sensing techniques
Job description
A prestigious university in South Carolina is seeking a highly motivated Postdoctoral Research Associate to advance crop modeling for rice at various scales. The role involves leading model calibration and validation using DSSAT and requires a PhD in a related field. Candidates should have a strong research background, excellent communication skills, and programming ability. This position aims to integrate data into meaningful outputs for stakeholders, contributing significantly to agricultural science research.