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Muhammad Usman

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PhD Scholarship Opportunity: Scalable Artificial Intelligence Decoding for Quantum Error Correction Monash University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Approximately $41,100 AUD per annum for up to 3.5 years (2026 rate with annual indexation), plus $4,000 AUD FIT Candidature Funding for the duration of the candidature and up to $1,265 AUD one-off travel grant.

Deadline

Dec 15, 2026

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Country

Australia

University

MONASH UNIVERSITY

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Keywords

Computer Science
Electrical Engineering
Deep Learning
Artificial Intelligence
Computational Physics
Python Programming
Quantum Computing
Artificial Neural Network
High Performance Computing
Physics
ML

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About this position

PhD project in scalable AI for quantum error correction at Monash University

This scholarship supports a PhD project focused on developing scalable artificial intelligence methods for quantum error correction. The research aims to build decoding approaches capable of handling error information from millions of qubits at microsecond time scales, using techniques such as deep neural networks and transformers. The project sits at the intersection of quantum computing and machine learning, addressing a key bottleneck in making quantum computers more reliable and useful for large-scale computation.

The candidate will join the Scalable Quantum Systems Lab under the direction of Professor Muhammad Usman at Monash University. The lab is described as a hub for innovative quantum computing work, including applications linked to the Brisbane 2032 Olympics Games, the National Quantum Computing Testbed Facility, and Quantum Artificial Intelligence for Defence. The successful student will be part of a wider research program within the Faculty of Information Technology, interacting with post-doctoral researchers and other PhD students in a collaborative environment.

The position is framed as a research doctorate scholarship opportunity rather than a taught program, with the project centred on fast, scalable decoding for quantum error correction and its role in enabling practical quantum computing applications.

Funding details

Approximately $41,100 AUD per annum for up to 3.5 years (2026 rate with annual indexation), plus $4,000 AUD FIT Candidature Funding for the duration of the candidature and up to $1,265 AUD one-off travel grant.

What's required

A relevant bachelor’s degree of at least four years with a research thesis or project and a minimum overall average grade equivalent to First Class Honours, or a relevant master’s degree with a research thesis or project equivalent to at least 25 percent of one year of full-time study and a minimum overall average grade equivalent to First Class Honours, or an equivalent qualification or combination of qualifications and professional experience accepted by the GRC. Applicants must meet university English language requirements, must not have previously completed a PhD, and must be able to commence in the year of the offer. Preferred background includes strong machine learning, deep learning, and software programming skills, proficiency in Python and frameworks such as PyTorch, and knowledge of quantum computing or quantum algorithms as an advantage.

How to apply

Email Professor Muhammad Usman with an EOI. Include your CV, full academic transcripts with GPA or weighted average mark and grading scale, a cover letter, and a draft research proposal of up to 2 pages. If shortlisted, you will discuss your ideas with the supervisory team before submitting a full application.

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Professors

Professor at Monash University

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Australia

Research Interests

Artificial Intelligence

Cybersecurity

Computer Science

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Python Programming