This position is offered through the ANU Computing Internship
The National Computational Infrastructure (NCI) is Australia’s leading high-performance data, storage and computing organisation, providing expert services to benefit all domains of science, government and industry.
Project: AI application landscape analysis using literature database
Artificial Intelligence research has penetrated into almost every single domain in research during recent decades. It has benefited from the fast growing computer power, hardware revolution with GPU and machine learning and deep learning software availability. The number of research publications related to AI, machine learning and deep learning has increased exponentially in recent years. We extracted millions of research articles referencing AI, ML and DL. The comprehensive literature database, one of the kind, provides insightful overviews of ML applications across many scientific domains. We created the linkage between authors and related research organisations using our Research Graph data clusters. With the authorship and associated institution information, the team has built a time series collaboration network that demonstrates the growth of research collaboration in AI. Those geographic distributions of the research activities reveal a collaboration footprint nationally and internationally. The research topics and focuses among institutes and across countries visualise the research collaboration and penetration globally. This comprehensive dataset will play a key role in providing landscape overview as well as evaluating the impact of AI in various domains, such as biology, environmental science, medical, astronomy, materials, physics, chemistry, earth science, art, transportation, social media etc.
Required/preferred technical skills or experience in software languages, environments, platforms.
Required/preferred professional or other skills
Scientific report writing
Project can be undertaken in-person or remote.
We are happy to host a student in any location
Citizenship requirements do not apply.
How to apply
Applications are invited from eligible students to apply for the Computing Internship courses COMP3280 or COMP8830. Eligibility details and further information about the Computing Internship can be found on the Computing Internship page.
1. Students must first seek confirmation of eligibility by submitting an Eligibility and Room Available in degree check.
2. Eligible students can then apply through the Computing Internship application form. You can nominate multiple preferred Internship placements through the one application form.
Applications for Round 1 open on 20 September and close on 30 September 2021.