University of Southern Queensland
1 week ago
PhD in Physics-Informed and Explainable AI for Water Security University of Southern Queensland in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Australia
University
University of Southern Queensland

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About this position
CSIRO Industry PhD opportunity in Physics-Informed and Explainable AI for Water Security: Uncertainty-Aware Modelling from Multisource Environmental Observations.
This PhD project combines environmental modelling, machine learning, data science, hydrology, remote sensing, and statistics to build AI methods for water-security applications. The work uses diverse environmental observations, including in-situ water-quality measurements, flow data, hyperspectral reflectance, and satellite imagery from Sentinel and Landsat, accessed through CSIRO’s EASI environment.
The project is linked to real-world CSIRO AquaWatch pilots and Hunter Water Corporation, with the Williams River catchment and Grahamstown Dam as primary testbeds. Students will collaborate with researchers from CSIRO, the University of Southern Queensland, and Cogninet Australia Pty Ltd, gaining hands-on experience with advanced environmental datasets and modelling platforms.
Primary location of the student is the University of Southern Queensland in Springfield Central, Queensland, Australia, with industry engagement at Cogninet Australia Pty Ltd in Surry Hills, New South Wales, Australia, and additional work at CSIRO Black Mountain in Acton, Australian Capital Territory, Australia.
Ideal applicants should have a strong interest in environmental modelling, artificial intelligence, and real-world impact. Helpful backgrounds include machine learning, data science, environmental engineering, hydrology, physics-based modelling, statistics, or remote sensing. Skills in Python, scientific computing, GIS, or satellite imagery processing are advantageous. Interest in explainable AI, uncertainty quantification, and environmental monitoring is a bonus.
The application is open until the position is filled. To apply, contact Ravinesh Deo by email.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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