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Fırsat Ayrıntıları

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

Maaş
AUD 41,100 per year
Son Başvuru Tarihi
December 15, 2026
Sözleşme Süresi
3.5 years
Çalışma türü
Full time
Pozisyon Türü
Doktora
Yayın Tarihi
October 8, 2026
Bölüm
Scalable Quantum Systems Lab
İletişim E-postası
muhammad.usman@monash.edu
Araştırma Alanı
Artificial intelligence
Explicify özeti

İlan Özeti

Monash University in Australia offers a full‑time PhD scholarship (up to 3.5 years) in the Scalable Quantum Systems Lab. The project focuses on developing AI‑driven decoding methods—deep neural networks or transformers—to correct quantum errors in microseconds for large‑scale quantum computers. The scholarship provides about $41,100 AUD per year, a $4,000 AUD candidature fund, and a one‑off travel grant. Candidates must hold a bachelor’s or master’s with honours, have strong machine‑learning skills (Python, PyTorch), and meet English language requirements. Applications close no earlier than 15 Dec 2026.

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Proje Açıklaması

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.

    This position has a two-stage selection process:

    Stage 1: Please submit your interest to Professor Muhammad Usman at muhammad.usman@monash.edu

    With the EOI please include the documents - CV, full academic transcripts that shows your GPA or weighted average mark as well as the grading scale, a cover letter and a draft research proposal of up to 2 pages, responding to one or more of the above research objectives.

    The draft research proposal should highlight your prior research experience and interest in the quantum computing field.

    Stage 2: Candidates who pass this stage of the selection process will be invited to discuss their ideas with the supervisory team before developing and submitting a full application.

    Enquiries: fit-graduate.research@monash.edu or muhammad.usman@monash.edu

    Please submit your application as soon as possible for this opportunity to join Monash University. Interviews will be held as strong applicants are identified. Applications will close when the role has been filled, no earlier than Tuesday 15 December 2026, 11:55pm AEDT


    Akademik İletişim

    Professor Muhammad Usman Scalable Quantum Systems Lab muhammad.usman@monash.edu
    Last Update Monash University careers.pageuppeople.com
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