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Ravinesh Deo

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University of Southern Queensland PhD Scholarship

PhD Scholarship in Digital Twins, Artificial Intelligence and Future Energy Systems University of Southern Queensland in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

The approximately $240,000 scholarship package covers three years and includes a competitive stipend and international tuition-fee support for eligible candidates. It may also provide opportunities for paid research-assistant work, conference participation, industry engagement, and research travel.

Deadline

Dec 4, 2026

Country flag

Country

Australia

University

University of Southern Queensland

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Keywords

Computer Science
Electrical Engineering
Artificial Intelligence
Energy Engineering
Computational Science
Digital Twin Technology
Power Plant Engineering
Optimisation
ML

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About this position

The University of Southern Queensland’s Artificial Intelligence Applications Laboratory is seeking an international PhD candidate to research Digital Twins, artificial intelligence and future energy systems.

The project forms part of a funded Queensland–Bavaria collaborative research program involving the University of Southern Queensland, Julius-Maximilians-Universität Würzburg, Chemnitz University of Technology and energy-industry partners. The successful researcher will work with an established Digital Twin platform developed by the Würzburg team, adapting, extending and validating it for Queensland electricity-network applications.

The research environment combines AI and machine learning with computational modelling of energy systems. Potential research directions include power engineering, renewable energy, optimisation, electricity-network applications and the development of advanced Digital Twin technologies. The candidate will be embedded in UniSQ’s Artificial Intelligence Applications Laboratory and connected with international university and industry collaborators.

The project offers an opportunity to contribute to collaborative research at the intersection of digital infrastructure, intelligent energy systems and applied computational science.

Funding details

The approximately $240,000 scholarship package covers three years and includes a competitive stipend and international tuition-fee support for eligible candidates. It may also provide opportunities for paid research-assistant work, conference participation, industry engagement, and research travel.

What's required

Applicants should be international candidates with a strong research Master's background, advanced computational and artificial-intelligence skills, and experience or strong foundations in energy systems, power engineering, renewable energy, Digital Twins, optimisation, or related areas.

How to apply

Review the full details and application information at the linked UniSQ page. Submit the PhD scholarship application before 4 December 2026 and contact Professor Ravinesh Deo at [email protected] for enquiries.

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Australia

Research Interests

Climatology

Energy Engineering

Demand Response

Energy Forecasting

Deep Learning