Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Australian National University
- Monash University
- University of Adelaide
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian Academy of Science Research Funding
- Griffith University
- La Trobe University
- Nature Careers
- Swinburne University of Technology
- University of South Australia
- 1 more »
- « less
-
Field
-
PhD candidates at ACSPRI Member Institutions are invited to apply for the 2026-27 ACSPRI Fellowship Program. This year the application process has been streamlined into 2 stages to make it less
-
intelligence, cyber security, human centered computing, enterprise systems, software systems, and computer science education. The team is committed to promote high-quality research activities in these areas
-
and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
-
such models and produce reports and scientific papers on this work. The successful candidate will have a PhD qualification in AI, computer science, atmospheric science, climate science. You will also
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
evaluated on physical robots. The ideal candidate would have: A PhD (or close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
-
and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
-
the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
-
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
-
-timeNathan, QLD PhD Scholarship: The Impact of Artificial Intelligence Technologies on Psychological AssessmentFull-timeDVC ResearchSouthport, QLD Research Fellow in ICTFull-timeSchool of Information and