Fresh Supply Co: modelling risk in agricultural production to improve lending decisions (PhD scholarship)
Applications close 20 September
Your work will support agricultural producers in obtaining more cost-effective loans. On the technical side, the research involves data analysis, modelling and simulation.
This is an outstanding opportunity to engage in statistics and data science applications in the agriculture sector. We anticipate this research will deliver:
- valuable and real-world impact in the agriculture sector
- novel statistical methodologies.
You will be working closely with Fresh Supply Co staff and your QUT supervisory team to:
- ensure your research delivers impact
- build your professional network.
You’ll gain valuable real-world experience in a nationally important industry, with excellent academic supervision through QUT’s Centre for Data Science.