Study with us
A2I2 offer scholarships for prospective PhD students through the Deakin University Higher Degree by Research (HDR) program. We also consider self-funded PhD applicants.
All applications will go through a rigorous assessment process and shortlisted applicants will be interviewed. Successful applicants will have their university tuition fees waived, and will receive a stipend and medical insurance.
- A degree in Electrical Engineering, Computer Science, or similar disciplines.
- A minimum of a four-year undergraduate degree and a research thesis.
- A high GPA with first class honours
(extensive research experience and peer reviewed publications are advantageous).
- A strong background in some of the following subjects:
- Machine Learning
- Linear algebra
- Probability and statistics
- Good programming skills
- Overseas applicants should have a minimum IELTS score of 6.5 (with no band under 6) or a minimum TOEFL iBT score of 70 with minimum writing score of 21. The certificate of English language competency must be provided before commencing the course.
How to apply
You may include some of the following documents: Academic transcripts; Published papers; Research proposal; and Reference letters.
For more information contact: Trang Tran
Learn more about our PhD program
Being A2I2 PhD students, you’ll work alongside some internationally recognised researchers with expertise in the areas of machine learning, pattern recognition, artificial intelligence and computer vision. You’ll have chances to share your research interest in our weekly reading groups.
Living and working in either Geelong (AI/ML students) or Burwood (software engineering students), Victoria offers a remarkable quality of life with superb facilities. In Geelong you can relax in a pretty, rural environment, close to some of Australia’s best surf beaches, or in Melbourne you are surrounded by impressive buildings and a vibrant cultural life.
Thanh Dai Nguyen (currently working at Google Australia)
“At A2I2, I had the chance to learn from awesome professors and researchers about how to do research and how to collaborate with professionals across many fields. A2I2 staff and students were really nice and friendly which made me feel at home.
We lived in Geelong which is a beautiful and peaceful city. It is quiet enough to help you to focus on your research, but you can still enjoy a vibrant big city like Melbourne only a 1 hour train / drive away.”
Thanh joined the A2I2 PhD program in 2015 under the supervision of A/Prof. Sunil Gupta, A/Prof. Santu Rana and Prof. Svetha Venkatesh. Thanh is now a Software Engineer at Google Australia in Sydney and is working on various machine learning problems in Chrome OS.
Tinu Joy (currently working in Europe)
“It has been a great journey with A2I2. What attracted me most is A2I2‘s ability to conduct high quality research and translate the output into real-world applications.
The depth and breadth of A2I2 on the topic of machine learning is fantastic. I was fortunate to be advised by Assoc. Prof. Santu Rana, Assoc. Prof Sunil Gupta and Prof. Svetha Venkatesh. They were very supportive throughout my PhD journey. As a PhD student, I was encouraged to communicate my work at top conferences and journals. I was also given the opportunity to attend and present at international conferences. The best part of the journey was being able to see my work applied to solve real-world problems. A2I2 has always tried to create a stimulating atmosphere within the group. There have been social gatherings, paper reading sessions, and more. I would recommend A2I2 to aspiring PhD candidates who would like to pursue a career in artificial intelligence”
“Geelong is a quite modern suburban town which is not too far from Melbourne. It has many beautiful beaches! The famous Great Ocean Road starts from Geelong. There are many national reserves and hiking trails where one can enjoy nature.”
Tinu joined the A2I2 PhD program in 2015 and is currently working as a machine learning scientist in Europe where he can apply machine learning to different forecasting problems in finance.
Trang Pham (currently working at Google Australia)
“I was introduced to A2I2 by Dr Tu Nguyen. He was a PhD candidate at A2I2 at that time. I found that A2I2 had many opportunities in machine learning research, with skilled and experienced staff. I decided to apply for a PhD scholarship and got an offer.
I had a great experience during my time at A2I2 Geelong. My principal supervisor, A/Prof. Truyen Tran is a great scientist who taught me valuable knowledge and research skills and instilled in me a professional work ethic. Thanks to his constant guidance and support, I was able to finish my PhD with a good outcome. It was also great to learn from Prof. Svetha Venkatesh. As a successful woman in technology and research, she is a source of motivation to keep me pursuing my career path.”
Trang joined the A2I2 PhD program in 2015 and is now a software engineer at Google Sydney, working on their Blogger team.
Hung Le (current PhD candidate)
“A2I2 is a good place to carry out fundamental research. We focus on problems that can have an impact and offer a wide range of possible applications. I am supported with enough resources for my research. The director and leaders have great vision on AI and always aim for high achievements, which opens opportunities for the development of an academic career”
Hung Le joined the A2I2 PhD program in 2017 under the supervision of A/Prof. Truyen Tran and Prof. Svetha Venkatesh. Hung is about to submit his PhD thesis after 2 years of his candidature.
Hung is currently working on “memory and attention in deep learning”, with the aim to bring artificial intelligence closer to human cognitive processes by developing machines with memory systems.
Interested applicants should email their CV to Trang Tran (A2I2 HDR Support Coordinator).