QUT Digital Learning of Particle-Laden Flows PhD Scholarship 2026

The QUT Digital Learning of Particle-Laden Flows PhD Scholarship is a research opportunity offered by Queensland University of Technology (QUT) in Brisbane, Australia. Based in the School of Mechanical, Medical, and Process Engineering, the project focuses on scientific machine learning for particle-laden fluid mechanics, an area relevant to environmental, industrial, and microscale engineering applications.

This scholarship supports a Doctor of Philosophy (PhD) candidate working on advanced methods such as autoencoders and neural differential equations to forecast and reconstruct the evolution of particle-laden turbulent flows from limited data. The research may involve both analysing existing datasets and contributing to data generation and curation for machine-learning-driven fluid mechanics studies.

The opportunity is described as fully funded and includes a tuition waiver. Depending on the scholarship package and QUT research student support arrangements, additional financial support may also be available, but applicants should confirm exact benefits on the official scholarship page.

Applicants are expected to meet QUT's entry requirements for a PhD, including English language requirements. A suitable academic background includes areas such as mechanical engineering, applied mathematics, civil engineering, geotechnical engineering, and related quantitative or engineering disciplines. Students are normally expected to enrol as full-time internal candidates unless specific approval is granted for part-time or external study.

The scholarship is hosted in Australia at QUT. Interested candidates should review the official scholarship page carefully and follow QUT's research degree application process, preparing academic records, evidence of research preparation, and any required supporting documents.