Program 2: Building domestic talent for South Australia in Industrial AI
AIML is offering competitive scholarships for high achieving domestic and international students. AIML will also provide scholarships that support students to complete honours or master’s by research degrees.
The current list of AIML Industrial AI scholarships include:
- Australian Institute for Machine Learning (AIML) Industrial AI Program Scholarship (PhD) - these full-time scholarships support students undertaking their PhDs in AI and machine learning.
- Australian Institute for Machine Learning (AIML) Industrial AI Program Supplementary Scholarship (MPhil) - these scholarships support students undertaking their master’s degrees in AI and machine learning.
Previous scholarships include the Australian Institute for Machine Learning Industrial AI Program Honours Scholarship which supports two exceptional students engaging in advanced research in Artificial Intelligence and Machine Learning in an Honours program of study at the University of Adelaide.
Sarah Dickinson – Industrial AI Scholarship Recipient
Sarah’s research interests are in space exploration, stemming from her honours research in machine learning using techniques that measure gravitational waves. At AIML, she is supervised by Professor Tat-Jun Chin and the AI for Space Group to analyse lunar craters using satellite position tracking and computer vision technologies.
Oliver Lack – Industrial AI Scholarship Recipient
Oliver’s research will be examining anthropomorphism— the attribution of human qualities in objects—and how humans perceive consciousness when interacting with AI that possesses human-like features. His project is a joint collaboration between AIML and the University of Adelaide’s School of Psychology, supervised by Professor Carolyn Semmler, Professor Anton van den Hengel, Dr Jon Opie, and Dr William Ngiam.
Ethan Elms – Industrial AI Scholarship Recipient
Ethan’s research focus is on monocular event-only Visual Odometry (VO)—a process that determines the position and orientation of an object, such as a camera or a robot —and Simultaneous Localisation and Mapping (SLAM), a computational method for developing digital maps, in order to create new applications for space operations. Ethan is also supervised by Professor Tat-Jun Chin.
AIML Scholarships
To view all available scholarship opportunities, visit our Scholarships page.