Phd Scholarship Opportunity: Quantum Compiler For Efficient Circuit Transpilation

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

Benefits offered by this job

Travel grant

Scholarship support

Candidature funding

Job summary

Monash University is offering a PhD scholarship focused on a quantum compiler for efficient circuit transpilation at Clayton campus, Melbourne. The program supports a research doctorate with a funded scholarship and travel grant, housed in the Scalable Quantum Systems Lab under Professor Muhammad Usman.

The successful candidate will develop quantum software components and reinforcement learning models to minimize resource use across quantum processors while engaging with a world-class research

Qualifications

• Strong background in ML/DL and software programming.
• Proficiency in Python and ML frameworks (e.g., PyTorch).
• Familiarity with quantum computing concepts is advantageous.

Responsibilities

• Develop efficient quantum compiler methods for transpilation of circuits.
• Collaborate with researchers and PhD students in the lab.
• Disseminate results through manuscripts and presentations.

Skills

Machine learning

Deep learning

Python

Software programming

Education

Bachelor’s degree with honours (First Class)

Master’s degree with research thesis

Equivalent qualification or relevant professional experience

Tools

PyTorch

Job description

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