PhD Scholarship – AI-Driven Optimisation for Sustainable Agriculture in Australia

This fully funded PhD position focuses on developing a cutting-edge, AI-enhanced decision support system for optimising energy use and crop yield in Australian greenhouse agriculture. This interdisciplinary project will synergise machine learning with plant optimisation modelling to estimate energy consumption and predict crop production under varying weather, soil conditions, and plant types. The research will address both sustainability and productivity in controlled agricultural systems, exploring interactive multi-objective optimization approaches that incorporate preference information provided by end-users. This project is supported by the E2Crop Hub, and the candidate will have the opportunity to work alongside a large cohort of industry partners within the Hub. The outcomes will lead to the discovery of optimal greenhouse management strategies that balance energy efficiency with maximum crop yield, helping Australian farmers minimise energy consumption, maximise production and profitability, and tailor greenhouse design and operation to local climatic conditions.