University of Southern Queensland
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CSIRO Industry PhD Scholarship
PhD Scholarship in Physics-Informed and Explainable AI for Water Security University of Southern Queensland in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Total living expense stipend valued at AUD $204,143 and project expense package valued at AUD $56,019. Annual stipend rates are AUD $49,513 (2027), $50,998 (2028), $52,528 (2029), and $54,104 (2030). Additional project expense and development funding is provided separately from the personal stipend: AUD $13,390 (2027), $13,792 (2028), $14,205 (2029), and $14,632 (2030). Maximum tenure is four years. Includes joint university, CSIRO and industry supervision, structured professional development, a
Deadline
Nov 20, 2026
Country
Australia
University
University of Southern Queensland
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About this position
University of Southern Queensland (Australia) is offering an HDR/PhD scholarship in physics-informed and explainable AI for water security. The project focuses on uncertainty-aware modelling from multisource environmental observations, combining in-situ water-quality measurements, flow data, hyperspectral reflectance, and satellite imagery (including Sentinel and Landsat) accessed through CSIRO’s EASI environment.
The research uses real-world CSIRO Aqua-Watch pilots and Hunter Water Corporation data, with the Williams River catchment and Grahamstown Dam as primary testbeds. The student will work across environmental modelling, artificial intelligence, machine learning, hydrology, physics-based modelling, statistics, remote sensing, geospatial data, and Python/scientific computing.
This is an industry-linked PhD with joint supervision from the university, CSIRO, and industry partners. The scholarship includes a living stipend plus project expense and development funding, along with structured professional development and an industry engagement component of at least 60 full-time days.
Eligibility is restricted to Australian or New Zealand citizens or Australian permanent residents. Applicants must meet UniSQ PhD admission and English language requirements, hold an appropriate honours/master’s degree or equivalent research experience, have not previously completed a PhD, and not hold another primary scholarship. The student must be able to commence in 2027 and enrol full-time.
To apply, prepare a CV, a preliminary research thesis topic proposal, and transcripts/qualification documents, then submit via the UniSQ Scholarship Application Management System by 20 November 2026. For project details, contact Professor Ravinesh Deo at [email protected].
Funding details
Total living expense stipend valued at AUD $204,143 and project expense package valued at AUD $56,019. Annual stipend rates are AUD $49,513 (2027), $50,998 (2028), $52,528 (2029), and $54,104 (2030). Additional project expense and development funding is provided separately from the personal stipend: AUD $13,390 (2027), $13,792 (2028), $14,205 (2029), and $14,632 (2030). Maximum tenure is four years. Includes joint university, CSIRO and industry supervision, structured professional development, a
What's required
Applicants must be Australian or New Zealand citizens or Australian permanent residents; meet UniSQ PhD admission and English language requirements; hold an Australian bachelor honours degree with First Class Honours or Second Class Honours Division A (or equivalent) with a thesis comprising at least two units, or an Australian master’s degree (or equivalent) with a thesis comprising at least two units, or other qualifications/equivalent research experience judged suitable for PhD admission; have not previously completed a PhD; not be receiving another primary scholarship; be able to commence in 2027; enrol full-time; be based at the agreed project location(s); and be eligible to commence or continue a PhD in January 2027. Relevant experience in programming, quantitative analysis, machine learning, or environmental modelling is viewed favourably.
How to apply
Prepare a CV, a preliminary research thesis topic proposal completed in consultation with Professor Ravinesh Deo, and academic qualification documents. Submit the application through the UniSQ Scholarship Application Management System by the closing date. For questions, email [email protected].
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