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Digital Twin Technology for Environmental Monitoring and Sustainable Land Use Management in Bega Valley

This project is closed.

Project summary

Program
PhD
Location
St Lucia
Research area
Agricultural, veterinary and food sciences, Environmental sciences, Information and computing sciences

Project description

This project forms part of the CSIRO Data61 Next Generation Graduates Program (NGGP) AgriTwins project. It will apply digital twins, data science and machine learning to map and monitor land use in the Bega Valley, focusing on greenhouse gas monitoring and environmental sustainability. Data from satellites/drones/ sensors will be integrated to provide a dynamic representation of the region, enabling better decision-making.

Research environment

This project will be hosted at the University of Queensland within Dr Bialkowski's Applied AI group, in partnership with the Regional Circularity Co-operative, Bega Circular Valley, CSIRO's Data61, and Charles Sturt University.

The student will gain Industry-supported, hands-on research experience while addressing real-time industry challenges.

Scholarship

This project is supported by the Research project scholarship.

This scholarship includes:

  • living stipend of $36,400 per annum tax free (2025 rate), indexed annually
  • tuition fees covered.

This scholarship includes:

  • living stipend of $36,400 per annum tax free (2025 rate), indexed annually
  • tuition fees covered.

Learn more about the Research project scholarship.

Supervisor

Preferred educational background

Your application will be assessed on a competitive basis.

We take into account your:

  • previous academic record
  • publication record
  • honours and awards
  • employment history

A working knowledge of programming and data science would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field/s of data science, computer science, or environmental sciences and the potential for scholastic success.

A background or knowledge of digital twins, IoT, sensors, computer vision, machine learning, drones and GIS is highly desirable.

How to apply

You must submit an expression of interest (EOI) by 17 November, 2025 17 November, 2025.

Before you apply

  1. Check your eligibility for the Doctor of Philosophy (PhD).
  2. Prepare your documentation.
  3. If you have any questions about whether the project is suitable for your research interests, contact Dr Alina Bialkowski (alina.bialkowski@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

  1. Are you applying for an advertised project: 'Yes'
  2. Project: 'Research project scholarship'
  3. Scholarship Code Listed in the Advertisement: DIGITAL TWIN-BIALKOWSKI
  4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/digital-twin-technology-environmental-monitoring-and-sustainable-land-use-management-bega-valley

Submit an EOI

This project is not available to international students

Do you have questions?

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Contact us