PhD Scholarship Opportunity: Scalable Artificial Intelligence Decoding for Quantum Error Correction

AIpool; City of Melbourne; On-site; AUD 41,000 - 45,000; Full time

Benefits offered by this job

Scholarship package

Candidature funding

Travel grant

Job summary

Monash University offers a PhD scholarship opportunity in Scalable AI Decoding for Quantum Error Correction. The project targets fast, large-scale decoding for quantum error correction using AI methods and processing millions of qubit error information.

The candidate will join the Scalable Quantum Systems Lab and collaborate with researchers in IT. Eligibility includes a four-year bachelor’s with honours or a Master’s with a research thesis, meeting English requirements, and no prior PhD, with

Qualifications

• Candidates must have a strong background in ML/DL and programming.
• Proficiency in Python and PyTorch is required.
• English language requirements must be met and PhD candidature pursued at Monash.

Responsibilities

• Develop scalable AI-based decoding methods for quantum error correction.
• Work on deep neural networks or transformers for microsecond-scale decoding.
• Collaborate with researchers and contribute to a world-class program.

Skills

Machine learning

Deep learning

Programming

Python

PyTorch

Quantum computing

Education

Bachelor's with honours

Master's with research

Equivalent qualification/experience

Tools

None

Job description

PhD Scholarship Opportunity: Scalable Artificial Intelligence Decoding for Quantum Error Correction

PhD Scholarship Opportunity: Scalable Artificial Intelligence Decoding for Quantum Error Correction

Job No.: 699201

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

Quantum computers suffer from noise or errors which significantly reduce their fidelity to perform large-scale useful computations. To overcome errors, quantum error correction protocols are implemented which detect and correct errors using classical processing known as Decoding. However, decoding must be completed at fast speed and large-scale to ensure errors are fixed before they accumulate. In this project, the student will develop scalable artificial intelligence based methods such as deep neural networks or transformers to perform decoding in microsecond time scales while processing error information from millions of qubits. The project will lead to a timely and critical development for rapidly advancing quantum computing industry and play an important role in enabling real-world applications of quantum computers.

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.

Skills

PythonPyTorchmachine learningquantum error correctionquantum algorithms

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