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Muhammad Usman

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PhD Scholarship in Quantum-Enhanced Machine Learning for Digital Health and Medical Diagnostics Monash University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Approximately $41,100 AUD per annum for 3.5 years (2027 rate with annual indexation), plus $4,000 AUD FIT Candidature Funding, up to $1,265 AUD one-off travel grant, and a Faculty of Information Technology Tuition Fee Scholarship for international students.

Deadline

Feb 28, 2027

Country flag

Country

Australia

University

MONASH UNIVERSITY

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Medical Imaging
Deep Learning
Python Programming
Medical Diagnostics
Digital Health
Quantum Computing
Medical Science
Quantum Algorithms
Statistics
Physics
ML

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About this position

This PhD scholarship offers the chance to work on quantum-enhanced machine learning for digital health and medical diagnostics through a collaboration between Monash University and Quantum Motion.

The project sits at the intersection of quantum computing and machine learning, with a focus on developing novel models for medical imaging. The research aims to improve diagnostic performance in areas such as nuclear medicine and magnetic imaging by advancing image resolution, reducing noise, or enabling faster processing. The advert also highlights applications for early-stage detection of injuries and diseases.

At Monash, the work will be connected to Professor Muhammad Usman’s Scalable Quantum Systems Lab in the Faculty of Information Technology, a research environment described as active in multiple quantum computing projects and applications. The successful candidate will also interact with postdoctoral researchers and PhD students within the faculty.

The industry partner, Quantum Motion, is presented as a full-stack quantum computing company with access to expertise across the quantum computing stack, adding an industry-facing dimension to the PhD.

Funding details

Approximately $41,100 AUD per annum for 3.5 years (2027 rate with annual indexation), plus $4,000 AUD FIT Candidature Funding, up to $1,265 AUD one-off travel grant, and a Faculty of Information Technology Tuition Fee Scholarship for international students.

What's required

Applicants must have a bachelor’s degree of at least four years in a relevant discipline including a research thesis or project, with an overall average equivalent to First Class Honours; or a relevant master’s degree including a research thesis or project equivalent to at least 25 percent of one year of full-time study, with an overall average equivalent to First Class Honours; or an equivalent qualification and relevant professional experience deemed acceptable by the GRC or delegate. Candidates must meet Monash University English language requirements, be able to commence in the year of the offer, and enrol as a full-time PhD student; part-time arrangements may be considered with supervisory and university approval. The ideal candidate will have a strong background in machine learning, deep learning, and software programming, proficiency in Python and machine learning frameworks such as PyTorch, knowledge of quantum computing or quantum algorithms, strong analytical skills, curiosity for interdisciplinary research, and the ability to collaborate effectively with academic and industry teams.

How to apply

Send an expression of interest to Professor Muhammad Usman or Dr Matt Sims-Goh. Include a CV, academic transcripts, a cover letter, and a draft research proposal of up to 2 pages aligned to the research objectives. Shortlisted candidates will discuss their ideas with the supervisory team before submitting a full application.

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Professors

Professor at Monash University

University Name
Country flag

Australia

Research Interests

Statistics

Artificial Intelligence

Computer Science

Ml

Python Programming