Research Fellow (Computer Science) – AI and Personality

About the role

This post-doc fellowship is a collaboration between the Australian National University (ANU) and the Australian government, focusing on the intersection of AI and personality, with a specific focus on understanding personality in an online environment. The post-doc works closely with a fellow psychology post-doctoral candidate and collaborates with academic researchers and the Australian Government. The term is full-time and fixed for 12 months.

Key responsibilities

• Develop sophisticated AI approaches that extract psychological insights from digital text data.
• Work with world-class computing infrastructure to solve problems bridging computer science and psychology.
• Fine-tune and build orchestration pipelines for pre-trained and large language models (LLMs).
• Evaluate and compare alternative orchestration frameworks and agent-based architectures.
• Liaise with international partners and academic institutions in partnership with the Australian government.
• Work on complementary projects, integrate within existing research labs, and develop teaching and science communication skills.

Required profile

• A qualified computer scientist or computational linguist with demonstrated expertise in training large language models and using large-scale computing infrastructure for affective computing or psychology applications.
• Demonstrated experience designing or deploying multi-model orchestration layers is advantageous.
• Eligible for, and willing to undergo, an Australian Government security clearance; continued engagement depends on obtaining and maintaining it.
• Preferred candidate must have the right to live and work in Australia.

Required skills

• Training large language models
• Large-scale computing infrastructure
• Multi-model orchestration layers

What we offer

• Salary package of $124,638 to $141,317 per annum plus 17% superannuation.
• Full-time, fixed-term position of 12 months.

To apply, upload a CV, a short statement of interest (no more than 300 words) and a four-page summary addressing the selection criteria. Shortlisted candidates are invited to a 30-minute interview with the supervisory panel.