Phd Scholarship Opportunity: Quantum-Secured Artificial Intelligence Models

Monash; Melbourne; On-site; AUD 37,000 - 45,000; Full time

Benefits offered by this job

Scholarship package

Candidature funding

Travel grant

Job summary

Monash University invites applications for a PhD Scholarship in Quantum-Secured AI. The candidate will be supervised by Professor Muhammad Usman in the Scalable Quantum Systems Lab at the Clayton campus, Melbourne, developing quantum AI models robust to adversarial attacks with industrial and defence applications.

This full-time scholarship lasts up to 3.5 years, with remuneration around AUD 41,100 per year (2027 rate, indexed) plus FIT candidature funding and a travel grant.

Qualifications

• Bachelor’s degree with four years including a research thesis or project, with First Class Honours equivalent.
• Master’s degree with a research thesis/project equivalent to at least 25 percent of one year of full-time study, with First Class Honours.
• Meet English language requirements.
• Not have previously completed a PhD.
• Be able to commence in the year of the offer.
• Strong background in ML, deep learning, and software programming.
• Proficiency in Python and PyTorch.

Responsibilities

• Develop novel quantum AI models robust to adversarial attacks.
• Collaborate with world‑leading researchers and PhD students.
• Contribute to projects in quantum AI applications for defence and industry.
• Be part of the Scalable Quantum Systems Lab under Professor Muhammad Usman.

Skills

Machine learning

Deep learning

Software programming

Python

PyTorch

Education

Bachelor’s degree with honours

Master’s degree with research thesis

Equivalent qualification/experience

Job description

PhD Scholarship Opportunity: Quantum-Secured Artificial Intelligence Models

Job No.: 699174

Location: Clayton campus Melbourne

Employment Type: Full-time

Duration: The scholarship may be held for up to 3.5 years (fulltime) for Research Doctorate (PhD) studies.

Remuneration: The successful applicant will receive

• A scholarship package totalling approximately $41,100 AUD per annum (2027 rate with annual indexation)
• FIT Candidature Funding of $4,000 AUD for the duration of the candidature
• Up to $1,265 AUD from Monash Graduate Research Office as a one-off travel grant

The Opportunity

This is an unprecedented opportunity to work at the intersection of quantum computing and artificial intelligence – two most fascinating fields of research. The PhD candidate will be supervised by world-leading quantum computing expert Professor Muhammad Usman at the Faculty of Information Technology. The PhD project involves developing novel quantum artificial intelligence models which are intrinsically robust against adversarial attacks, with applications in wide range of industry sectors such as autonomous vehicles, military systems, and medical diagnostics.

The Scalable Quantum Systems Lab, directed by Professor Muhammad Usman, is home to a range of innovative tools and projects – including developing applications of quantum computing Brisbane 2032 Olympics Games, National Quantum Computing Testbed Facility, and Quantum Artificial Intelligence for Defence. The successful PhD candidate will be part of a world-class research program interacting with post-doctoral researchers and PhD students at the Faculty of Information technology.

Eligibility

To be considered for this opportunity you should fulfil the eligibility requirements listed below:

• Both Australian citizen or permanent residents and international students will be considered for this opportunity.
• A bachelor’s degree of at least four years in a relevant discipline, which includes a research thesis or project, with a minimum overall average grade of an honours degree equivalent to the First Class Honours; or
• A master's degree in a relevant discipline which includes a research thesis or project equivalent to at least 25 percent of one year of full-time study, with a minimum overall average grade of honours equivalent to the First Class Honours; or
• A qualification, or combination of qualifications and relevant professional experience, deemed equivalent by the GRC (or delegate).
• Meet university English language requirements.
• Not have previously completed a PhD.
• Be able to commence the Program in the year of the offer.

Ideal PhD Candidate

The ideal PhD candidate will have:

• A strong background in machine learning, deep learning, and software programming
• Proficiency in Python and machine learning frameworks such as PyTorch (required)
• Knowledge of quantum computing or quantum algorithms (advantageous but not essential)
• Strong analytical skills, curiosity for interdisciplinary research, and the ability to collaborate effectively with both academic and industry teams

Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter.

Selection Process

Stage 2: Candidates who pass this stage of the selection process will be invited to discuss their ideas with the supervisory team before developing and submitting a full application.

Enquiries: [e-mail] or [e-mail]

Applications will close when the role has been filled, no earlier than Tuesday 15 December 2026, 11:55pm AEDT