Classification: Academic Level B Salary package: $124,638 - $141,317 per annum plus 17% superannuation Term: Full time, Fixed Term (12
months) Engage with world-class computing infrastructure and work in partnership with the Australian government Develop sophisticated AI approaches intersecting with psychology and computer science Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow (Computer Science).pdf In 1946, ANU was founded to help rebuild a changing world. We’re still at it, 80 years later. For generations, our people have turned curiosity into ideas that have shaped Australia and our region. Learn more about ANU, our history and the community that has shaped us: ANU at 80 Position Overview This post-doc represents an exciting collaboration between ANU and the Australian government, focussing on the intersection between AI and personality, with a specific focus on understanding personality in an online environment. To solve this problem, you will work closely with a fellow psychology post-doctoral candidate. Specifically, this role will seek to develop sophisticated AI approaches that extract psychological insights from digital text data. You will work with world-class computing infrastructure while tackling challenging problems that bridge computer science and psychology, collaborating directly with both academic researchers and the Australian Government. You will fine-tune and build orchestration pipelines for pre-trained and large language models (LLMs) to achieve these objectives. Furthermore, you will systematically evaluate and compare alternative orchestration frameworks and agent-based architectures to solve these challenges. Working in partnership with the Australian government, you will have the opportunity to liaise with international partners and academic institutions. You will also be encouraged to work on additional projects that complement the main body of research, integrate within existing research labs, and develop teaching and science communication skills. The Person We are looking for a qualified computer scientist or computational linguist with demonstrated expertise in training large language models and using larger scale computing infrastructure for affective computing or applications in psychology. Demonstrated experience designing or deploying multi-model orchestration layers is advantageous. We are looking for someone who likes challenging problems and encourages team members and colleagues to workshop effective solutions across disciplinary boundaries. Innovation and creativity are essential in this role, and a desire to tackle complex problems that have direct practical application to the work of the Australian government. This role requires access to sensitive research environments. The successful applicant must be eligible for, and willing to undergo, an Australian Government security clearance. Continued engagement in the role is subject to obtaining and maintaining this clearance. Learn more about the ground-breaking research and world class facilities of the Research School of Medicine and Psychology. For more information about the position please contact Dr Conal Monaghan at E: conal.monaghan@anu.edu.au . The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion Application Information To be considered for this position, please upload the following documents: A current curriculum vitae (CV), A short statement indicating your interest and motivation for this role (no more than 300 words) No more than a four-page summary addressing your suitability against the selection criteria. If shortlisted, candidates will be asked to complete a: 30-minute interview using with the supervisory panel Applications which do not address the selection criteria may not be considered for the position. Please note: The preferred candidate must have rights to live and work in Australia and will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence . Closing Date: Sunday, 22 November 2026, 11:55pm (Canberra Time)
