CSIRO (Australia's National Science Agency) 
Adelaide, Australia Descripción del proyecto
Funding and duration
four year scholarship package totalling approximately $48,000 per annum tax exempt (2026 rate); four-year scholarship and research training program.
Project overview
Project title
Trustworthy LLM-powered summarisation and causal analysis of public submissions to government.
Project description
This project develops large language models (LLM) for summarising and analysing public submissions. The expected outcome is the creation of new AI tools that government policy officers can use to analyse public submissions. This project may help to reduce manual workload of policy teams, enabling timely and more consistent delivery of insights and improve stakeholder engagement.
Supervisory team
University
Name of university supervisor | Jiuyong Li
Name of university | Adelaide University
Email address | Jiuyong.Li@unisa.edu.au
Faculty | STEM
CSIRO
Name of CSIRO supervisor | Yanchang Zhao
Email address | yanchang.zhao@csiro.au
CSIRO Research Unit | Data61
Industry
Name of industry supervisor | Lily Li
Name of business/organisation | Attorney-General’s Department
Email address | Lily.Li@ag.gov.au
Further details
Primary location of student | Adelaide University, Mawson Lakes Boulevard, Mawson Lakes SA 5095, Australia
Industry engagement component location | Attorney-Generals Department, 3/5 National Circuit, Barton ACT 2600, Australia
Other locations | CSIRO Black Mountain Science and Innovation Park, Clunies Ross Street, Acton ACT 2601, Australia
Ideal student skillset | Essential skills: An Honours or master’s degree in computer science or data science.Knowledge of machine learning, natural language processing, large language models and/or causality analysis.Proficient with Python programming. Desirable skills: Experiences in research and academic publication. The ability to web scrape.An understanding of public consultation processes.
Application close date | Open until position filled
Apply | Contact Jiuyong Li