PhD Research Assistantship

University of Florida; Gainesville (FL); On-site; USD 30,000 - 50,000; Full time

Job summary

The University of Florida's Department of Agricultural and Biological Engineering offers a graduate research assistantship for a PhD candidate focused on dynamic crop simulation models. This position involves conducting research aimed at the development and application of the DSSAT crop simulation models.

Qualified candidates must have a bachelor's degree related to agriculture and a strong interest in crop physiology. Strong communication and programming skills are beneficial for success in this role.

Qualifications

• Demonstrate a strong academic interest in crop physiology and DSSAT crop model.
• Earned bachelor's degree from a land-grant institution.
• Programming skills are recommended.

Responsibilities

• Conduct research on DSSAT crop simulation models.
• Engage in supervised, field-based experiences.

Skills

Strong written and verbal communication skills

Programming experience

Education

Bachelor's degree in agricultural engineering, agronomy, horticulture, soil science or related field

Job description

The Department of Agricultural and Biological Engineering at the University of Florida has a world-renowned program on the development and application of dynamic crop simulation models. The department is also responsible for the Decision Support System for Agrotechnology Transfer (www.DSSAT.net), one of the most widely used crop models across the globe. A graduate research assistantship is available funded by the Boote Graduate Student Support program. We are looking for a highly motivated PhD candidate who is interested in conducting research toward the development, advancement, and application of the DSSAT crop simulation models, including supervised, field-based experiences related to the student's area of study.

Eligible students must demonstrate a strong academic interest in crop physiology and the application of the DSSAT crop model and must have earned at least a bachelor's degree in agricultural engineering, agronomy, horticulture, soil science or related field from a land-grant institution. Strong written and verbal communication skills as well as programming experience are recommended.