PhD Scholarship: 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

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