Publisher
source

Canva

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PhD Research Scientist Intern in Generative AI and Video Model Optimization Canva in Australia

Degree Level

not provided

Field of study

Computer Science

Funding

Full funding available
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Country

Australia

University

Canva

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Keywords

Computer Science
Mathematics
Optimisation
Statistics
Machine learning

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About this position

Canva is advertising a PhD Research Scientist Intern role in Sydney, Australia (hybrid). This is a full-time, 16-week AI Research Internship starting in September for current PhD students, ideally in their third year or later.

The internship sits at the intersection of Computer Science, Statistics, and Mathematics, with a strong focus on generative AI, video generative models, model pruning, and complementary optimization methods such as DMD and LoRA-based methods. Interns will work directly with Canva’s AI team on live, industry-scale projects, measuring compute cost, latency, and quality trade-offs, and collaborating with research, engineering, and product teams to move findings toward production.

The post also highlights broader work on agentic AI, including autonomous systems that can reason, plan, use tools, and act across Canva’s design and productivity products. Successful applicants should have experience training generative models, be able to design and interpret machine-learning experiments with scientific rigour, and be comfortable writing research code for data processing, model training, and evaluation.

This is an industry research internship rather than a scholarship or funded degree call. No stipend, tuition support, or fee waiver is mentioned. The role is based in Sydney and interviews are conducted virtually.

To apply, use the SEEK job link and follow the employer instructions. Be ready to share your pronouns and any reasonable adjustments needed during the interview process.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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