CSIRO PhD Scholarship - Agritwins: Technology for Resilient Future Agriculture

This scholarship has been established to provide financial assistance to a PhD student who is undertaking research of using data science and digital twin technology on development of an integrated geospatial rice production decision support system. By integrating geospatial data, grain yield, and quality metrics with advanced analytics, the system will enable predictive models that link GIS data and sensing data to forecast rice growth, grain quality, and inform decisions on water and fertilisation management. The scholarship is funded by the CSIRO as part of its Next Generation Emerging Technologies Graduate Program (NGGP) and supports outstanding Doctor of Philosophy (PhD) degree students within The University of Sydney Business School. The successful recipient must be willing to conduct research into applying AI and machine learning techniques in integrating geospatial data, grain yield, and quality metrics for data-driven decisions on water and fertilisation management. The scholarship includes a stipend, cost of living payment, research allowances for training and travel, and thesis cost reimbursement.