Internship—Research Graph Foundation - Project 2

Analysis of AI Research

18 May 2023

This position is offered through the ANU Computing Internship courses (COMP3820 / COMP4820 / COMP8830).

Semester 2, 2023 applications open on Tuesday 23 May and close on Monday 29 May.


Research Graph Foundation

The Research Graph Foundation is a not-for-profit and collaborative venture to connect scholarly records across global research repositories. The Foundation contributes to developing capabilities that transform disconnected and siloed research activities into a connected network of scholarly works. This network has enabled the discovery of research collaborations, rapid synthesis of the literature, and provided a pathway to trace research impact.

Project 1—Analysis of AI Research

Analysis of Large Language Models (LLM) such as GPT, and Building a Graph Database of research connections related to LLM projects globally. The project uses Knowledge Mining technology to explore the vast amount of literature on Large Language Models using data analytic techniques as well as other AI/ML methods like classification, and topic modelling to understand the development of language models. Input data will be publications selected by keyword extractions from public resources and the student will perform as a crucial part of the data extraction and data analytic pipeline. Processed data records need to be tagged with categories and topics and inserted into a Neo4j graph database. The successful applicant will get exposed to the end-to-end process of a research project and gain experience in analysing large volumes of document data and graph databases.

Required technical skills


  • Python for data analytics
  • Natural language processing
  • Experience in database query language like SQL


  • Linux environment experience
  • Graph database experience

Required/preferred professional and other skills

Ability to work independently and take initiative while knowing when to ask for help and communicate with others. Transfer existing knowledge to new skills. An understanding of the academic research and research ecosystem would be valuable for this project.

Delivery Mode

  • Remote (Intern engages on project in a remote capacity)

Student location

We are happy to host a student in any location

Project’s Special Requirements/ Conditions


Type of internship

Unpaid placement

How to apply

Applications are invited from eligible students to apply for the Computing Internship courses COMP3820 or COMP4820 or COMP8830. Eligibility details of COMP3820 / COMP4820 / COMP8830 and further information about the Computing Internship can be found on the Computing Internship page.

Eligible students can apply through the Computing Internship application form which will be available via the Computing Internship page between Tuesday 23 May 2023 to Monday 29 May 2023.

You can nominate multiple preferred Internship projects and host organisations through the one online application form.

Eligibility and Room Available in degree to undertake COMP3820/COMP4820/COMP8830 will be assessed at the time of application. If you do not meet the eligibility criteria or do not have room in your degree to fit COMP3820/COMP4820/COMP8830, your application will not be progressed.

Your application will require you to upload the following documents:

  • an updated copy of your Resume, and
  • an Expression of Interest (limit 350 words) for each organisation you wish to apply to (for organisations with multiple projects only submit one Expression of Interest but state clearly which project/s you wish to be considered for).

You are on Aboriginal land.

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

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