PhD in AI-Driven 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

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