PhD Scholarship: Secure Quantum Computing on Processors

Monash University; City of Melbourne; On-site; AUD 37,000 - 45,000; Full time

Benefits offered by this job

Travel grant

Job summary

Monash University is offering a PhD scholarship at the Clayton campus in Melbourne to research secure quantum computation on shared quantum processors. The candidature runs up to 3.5 years full-time with a total annual scholarship of about $41,100 AUD, plus a travel grant.

The ideal candidate has a strong software security background, skills in Python and PyTorch, knowledge of linear algebra and quantum computing, and the ability to collaborate across academic and industry teams in the Scalable

Qualifications

• Bachelor's or Master's with research thesis; First Class Honours recommended.
• Strong background in software security and mathematical basis (linear algebra).
• Proficiency in Python and PyTorch; knowledge of quantum computing is advantageous.
• Ability to work collaboratively across disciplines and with industry partners.
• Meet English language requirements and eligibility for PhD candidature.

Responsibilities

• Analyse security vulnerabilities of shared quantum computers and develop software-level solutions.
• Collaborate with the Scalable Quantum Systems Lab and other researchers to advance secure sharing of quantum compute resources.

Skills

Software security

Linear algebra

Software engineering

Python

PyTorch

Education

Bachelor's degree (4+ years) with honours First Class

Master's degree with research thesis

Job description

Monash University is offering a PhD scholarship at the Clayton campus in Melbourne to research secure quantum computation on shared quantum processors. The candidature runs up to 3.5 years full-time with a total annual scholarship of about $41,100 AUD, plus a travel grant.

The ideal candidate has a strong software security background, skills in Python and PyTorch, knowledge of linear algebra and quantum computing, and the ability to collaborate across academic and industry teams in the Scalable