PhD Scholarship Opportunity: Secure Quantum Computation on Shared Quantum Processors Full-time

PhD Scholarship Opportunity: Secure Quantum Computation on Shared Quantum Processors

This project offers an unprecedented PhD research opportunity to work on secure quantum computations on a shared quantum processor. Quantum computing is an emerging area of research with potential for revolutionary industry applications. In the near-term, the access to quantum processors is provided through shared environment via cloud systems. In this model, many users access the same quantum processor to perform their computing jobs. However, such shared environment poses a serious security vulnerability where an adversary can create cleverly selected sequence of quantum gates interfering with the computing jobs by other users leading to wrong answers. Similar security issues have been detected in the process of quantum error correction or software level compilations. In this project, PhD student will analyse security vulnerabilities of shared quantum computers and develop software level solutions to ensure secure and reliable sharing of quantum compute resources.

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.

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.

The ideal PhD candidate will have:

• A strong background in software security, linear algebra and software engineering
• 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

This position has a two-stage selection process:

Stage 1: Please submit your interest to Professor Muhammad Usman at muhammad.usman@monash.edu

With the EOI please include the documents – CV, full academic transcripts that shows your GPA or weighted average mark as well as the grading scale, a cover letter and a draft research proposal of up to 2 pages, responding to one or more of the above research objectives.

The draft research proposal should highlight your prior research experience and interest in the quantum computing field.

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: fit-graduate.research@monash.edu or muhammad.usman@monash.edu

Please submit your application as soon as possible for this opportunity to join Monash University. Interviews will be held as strong applicants are identified. Applications will close when the role has been filled, no earlier than Tuesday 15 December 2026, 11:55pm AEDT.