Projects can be expanded below to detail the specific information on each digital twin, scholarship, ideal candidate criteria and eligibility requirements.
Expressions of Interest are to be submitted initially using the online form. Shortlisted candidates will be contacted on a rolling basis.
To be eligible for a scholarship, applicants must be domestic students as per the Higher Education Support Act at the time of award.
Domestic students include:
Project 8: Honours - Reducing cattle days on feed while preserving eating quality
Use a large volume of historical data on animal breeding and eating quality to test if producers can reduce cattle days on feed (e.g., from 120 to 100) while maintaining eating quality. This project will adopt a data-driven approach to develop models that assess the ideal animal weight based on feed availability.
Preferred candidate (skill set):
The preferred candidate should have sound data science background with machine learning experience, including data preparation and cleansing, predictive machine learning model development and training.
Project 13: Masters - Development of an AI-enabled Dashboard utilising Indicators and Indices to Monitor Cattle Movement Activities (Saleyard, Processing, Export)
This project aims to use electronic ear-tag data to forecast cattle availability for sale across different regions. By analysing individual animal age, movement history between properties, and past turn-off patterns, a data-driven prediction model will give early insight into future cattle supply. Forecast potential kill amounts by region, species, and breed using data on young stock. This can help producers with planning and decision-making.
Forecast potential kill amounts by region, species, and breed using data on young stock. This can help in planning and decision-making for producers.
Preferred candidate (skill set):
The preferred candidate should have strong data analytics skills (including SQL), Python programming, and machine learning expertise.
Project 14: Masters - AI Verbatim for Product Improvement Opportunities
This project will curate and develop a comprehensive verbatim dataset to identify operational and product improvement opportunities. It will also design and implement an AI-enabled system that utilises this enhanced dataset to automatically spot areas for operational and product enhancements. Additionally, the project will conduct sentiment analysis, customer feedback tagging and categorisation, root cause analysis, and trend analysis to derive actionable insights.
Preferred candidate (skill set):
The preferred candidate should have proficiency in Python, SQL, experimentation with Large Language Models (LLMs), and business analysis—translating the understanding of the customer feedback process into data-driven insights and solutions.
To be eligible to receive the scholarship applicants must:
Domestic students include:
* Australian citizens
* Australian permanent residents
* a person entitled to stay in Australia, or to enter and stay in Australia, without any limitation as to time
* a New Zealand citizen.
The scholarship provides the following benefits:
Stipend:
Masters - Scholarship is valued at $42,483 per annum, payable in fortnightly instalments.
Honours - Scholarship is valued at $10,000 per annum, payable in fortnightly instalments.
Tuition Fees: Domestic candidates: Fee exemption for a period equivalent to 2 years (4 sessions) for Masters by Philosophy only at full-time study.
Operating Funds: Scholarship candidates are allocated an allowance to assist with the reimbursement of costs associated with a candidate’s research.
Masters by Research
* Training - $5,000 pa for 2 years
* Travel - $5,000 in total
* Thesis Allowance - $420 in total
Honours
* Training - $5,000 for 1 year
The scholarship is tenable for:
MPhil candidates - 2 years FTE for the stipend, tuition fee coverage, and operating funds allowances) subject to satisfactory progress.
HDR Scholarship candidates are entitled to 20 paid annual leave working days per year and 10 paid sick leave days per year; however, they are not eligible for paid primary parental care leave or additional personal leave.
Honours candidates - 1 year FTE for the stipend and operating funds allowances subject to satisfactory progress.
A two-stage process will be undertaken. Initial Expressions of Interest where candidates will respond to a specific project “pitch”.
Shortlisted candidates will be invited to apply for enrolment.
Selected HDR candidates will then apply for an AgriTwins Scholarship when completing their Charles Sturt course admission application. When given the option to apply for a scholarship, select 'Yes', 'Full-time AGRTP', and 'Other'. Under 'Other', enter AgriTwins Scholarship Project.
Limited projects are now available. Shortlisting will conclude when all projects have been allocated.
Email aicf@csu.edu.au with the headline ‘AgriTwins student enquiries + project number’
