A²I²  invites applications from candidates interested in pursuing a doctoral research degree in Computer Science, Machine Learning, and Artificial Intelligence.

Who is the A²I² PhD program for?

Our PhD program is designed for those who wish to be part of the next generation AI creators and developers. Our PhD programs are 3 years full-time, with the possibility of up to 6 months extension and can be completed on-campus in either our Melbourne (Burwood) and Geelong (Waurn Ponds) campus (project specific).

As a PhD student at A²I² you will learn alongside some of the sharpest minds in the field of AI and have access to a multitude of strong industry and academic collaborations. Our researchers consistently publish in top international AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ECCV, ICSE, etc.) and Q1 journals. Check out our publications for more details. We also work with industry leaders across diverse sectors to transfer our cutting edge AI to help solve real-world problems. Check out our industry projects for some recent examples.

Graduate students from A²I² have secured research and engineering jobs at leading AI institutions and global companies, including Google, Amazon, IBM, Johns Hopkins Whiting School of Engineering, REA Group, etc.

Scholarships

A²I² offer scholarships for prospective PhD students through the Deakin University Higher Degree by Research (HDR) program and A²I² scholarship funding. Successful applicants will have their university tuition fees waived and will receive a stipend and allowances.

Our current PhD scholarship stipend is $32,500/year (2023 full-time rate).

Selection Guidelines

Entry to the A²I² PhD program is based on a demonstrated capacity to undertake significant independent research at a very high standard in your proposed field of computer science. Applicants applying to undertake a PhD with scholarship must:

• A minimum four-year undergraduate degree in Computer Science, Electrical Engineering, or related disciplines
• A strong background in computer science and mathematics, plus sufficient specialisation to demonstrate your understanding and appreciation of the body of knowledge relevant to the intended PhD research, for example:
  • Machine learning
  • Linear algebra
  • Probability and statistics
  • Optimisation
• Meet Deakin University’s English language requirements

How to Apply

Applications can be made at any time during the year and will go through a rigorous assessment process. Shortlisted applicants will be invited for an interview with potential A²I² supervisors and our HDR coordinator. For more information about our PhD program and current projects see our:

• PhD program brochure
• Current PhD opportunities

Interested applicants should complete an EOI and email it together with a resume (or CV) to Trang Tran (A²I² HDR Support Coordinator). You may also choose to include some of the following documents: academic transcripts; published papers; research proposal; and reference letters.

Want to know more about studying at A²I²? Hear from some of our past PhD students below.

 

Dr Arun Kumar Venkatesh: Arun’s PhD involved researching ways for AI and humans to effectively collaborate.

 

Hung Duy Tran: Tran’s PhD explores how AI systems understand human behaviour to improve self-driving cars. Watch his story below or read more here about Tran’s PhD journey.

 

Dr Romero Remais: A passion for AI inspired Romero to help machines understand and predict human behaviour through research that’s set for positive impact. Watch his story below or read more here.

 

Dr Thao Le-Minh: Thao’s PhD involved exploring new frontiers in AI by teaching machines to understand the world through the lens of a camera.