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

Monash University; City of Melbourne; Sur place; AUD 37 000 - 45 000; Plein temps

Avantages offerts par ce poste

Travel grant

Candidature funding

Résumé du poste

Monash University invites applications for a PhD Scholarship Opportunity in Scalable Artificial Intelligence Decoding for Quantum Error Correction at the Clayton campus, Melbourne. The scholarship provides a stipend of about AUD 41,100 per year for up to 3.5 years plus an additional funding package and travel grant.

The successful candidate will develop AI-based decoding approaches to fix quantum errors at microsecond timescales, work within the Scalable Quantum Systems Lab under Prof.

Qualifications

• Bachelor honours or Master with a research thesis or project
• English language proficiency as per university requirements
• Not previously completed a PhD
• Ability to commence in offer year

Responsabilités

• Develop scalable AI-based decoding methods for quantum error correction
• Graduate with deep learning models (e.g., transformers)
• Collaborate with researchers and PhD students across IT faculty

Connaissances

Machine learning

Deep learning

Python

PyTorch

Research

Formation

Bachelor with honours

Master's degree

Equivalent qualification

Outils

Python

PyTorch

Description du poste

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 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.

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

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.

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