PhD Scholarship Opportunity: Quantum Compiler for Efficient Circuit Transpilation

Monash University; City of Melbourne; On-site; AUD 35,000 - 47,000; Full time

Benefits offered by this job

Scholarship stipend

Candidature funding

Travel grant

Job summary

Monash University invites applications for a PhD scholarship on Quantum Compiler for Efficient Circuit Transpilation at the Clayton campus, Melbourne. The project aims to bridge quantum algorithms with hardware execution using advanced software components and reinforcement learning.

The successful candidate will join the Scalable Quantum Systems Lab, collaborating with researchers and PhD students to advance quantum computing while pursuing a Research Doctorate (PhD) for up to 3.5 years.

Qualifications

• Bachelor’s degree with four years of study including a research thesis or project; honours First Class recommended.
• Master’s degree with a research thesis or project; honours First Class recommended.
• Equivalent qualification or experience as deemed by GRC (or delegate).
• Meet university English language requirements.

Responsibilities

• Develop quantum compiler methods to bridge algorithms and execution on quantum processors.
• Create quantum software components and reinforcement learning models for transpilation of quantum circuits.
• Aim to minimise resources (qubits, gates) for quantum circuit execution.

Skills

Machine learning

Deep learning

Software programming

Python

PyTorch

Education

Bachelor’s with honours

Master’s with honours

Equivalent qualification/experience

Tools

Python

PyTorch

Job description

PhD Scholarship Opportunity: Quantum Compiler for Efficient Circuit Transpilation

PhD Scholarship Opportunity: Quantum Compiler for Efficient Circuit Transpilation
Job No.: 699202

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 (2026 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 PhD project will develop efficient quantum compiler methods to bridge the gap between quantum algorithms and their execution on quantum processors. The project will develop innovative quantum software components and reinforcement machine learning models to enable efficient transpilation of quantum circuits on a wide range of quantum processor modalities and topologies. The key aim of the project is to minimise resource requirements (number of qubits, gates, etc) for quantum circuit execution.

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

• 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 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.

Enquiries: ***************@monash.edu or **************@monash.edu

Supporting a diverse workforce

Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations, and pays its respects to their elders, past and present.