Quantum-AI for food security and student wellbeing
Project overview
Project title
Quantum-AI for food security and student wellbeing: enhancing hydroponic resilience and therapeutic learning in Food Ladder’s urban ecosystems
Project description
This project develops quantum-AI tools to optimise urban hydroponic food systems and evaluate their therapeutic impact on student well-being. The expected outcome is to create quantum-reinforced AI algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience, reduce resource waste, and create scalable mental health interventions, advancing national sustainability and education priorities.
Supervisory team
University
| Name of university supervisor | Rajib Rana |
| Name of university | University of Southern Queensland |
| Email address | Rajib.Rana@unisq.edu.au |
| Faculty | School of Mathematics, Physics and Computing |
CSIRO
| Name of CSIRO supervisor | Hajime Suzuki Farina Riaz |
| Email address | hajime.suzuki@csiro.au farina.riaz@csiro.au |
| CSIRO Research Unit | Data61 |
Industry
| Name of industry supervisor | Kelly McJannett |
| Name of business/organisation | Food Ladder |
| Email address | kelly@foodladder.org |
Further details
| Primary location of student | University of Southern Queensland, 7 Sinnathamby Boulevard, Springfield Central QLD 4300, Australia |
| Industry engagement component location | Food Ladder, Level 3, 360 Kent Street, Sydney NSW 2000, Australia |
| Other locations | Food Ladder, Level 3, 360 Kent Street, Sydney NSW 2000, Australia CSIRO Marsfield, 26 Pembroke Road, Marsfield NSW 2122, Australia |
| Ideal student skillset | Skillset: Proficient in Python, machine learning, and preferably quantum machine learning. Strong interest in sustainability, education, and youth development. Key Responsibilities: Apply reinforcement learning to optimise resource allocation in hydroponic systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. |
| Application close date | Open until position filled |
| Apply | USQ |