As we launch the second phase of our research program with nine new signature projects, the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) is looking for four three-year full-time postdoctoral research fellowships (Level B) to be based at QUT, but working closely with colleagues around Australia, and with our partners both here and overseas. Please ensure you read the position description linked from each job ad as a PDF before applying, as it contains important information about the role and who we’re looking for. The applications for all four positions close on 22 August (extended from 31 July).
Learn more about the ADM+S Centre here.
Postdoctoral Research Fellow – Generative AI and Authenticity in Journalism and Human Rights Media
Authenticity is a key problem for understanding and managing the impacts of generative AI and synthetic media in society, and a central target for automated decision-making systems in the information and media environment. From trustworthy news reporting to identity verification for social services and the everyday risk of scams, generative AI and synthetic media present significant real-world implications for practitioners, institutions, and publics. You will co-design a program of work that focuses on the uses of and responses to Generative AI in contexts such as conflict journalism, human rights media, and political communication, where authenticity is both an imperative and very complex to determine and manage. It is not essential that you have extensive technical knowledge or computational methods skills for this position.
Supervised by Distinguished Professor Jean Burgess | Position Description 24553
Postdoctoral Research Fellow – The Politics of Authenticity Infrastructure in Digital Media Platforms
As part of the ADM+S Signature Project Generative Authenticity, the successful applicant will independently lead research activities and contribute to collaborative work focused on the politics of authenticity infrastructure in relation to AI-generated content in digital media platforms. By ‘authenticity infrastructure’ we mean the class of tools and techniques for determining and communicating authenticity for information and media; as well as industry-led alliances and standards for synthetic media creation, labelling, and explanation. In combination, this area of technical and policy development has grown to constitute a new sub-sector of the AI industry, and a new intermediary in the platform economy. With a background in areas like internet studies, political economy of communication, platform studies, media industry studies, or STS, the successful applicant will help map and consider the consequences of this emerging field. It is not essential that you have extensive technical knowledge or computational methods skills for this position.
Supervised by Distinguished Professor Jean Burgess | Position description 24554
Postdoctoral Research Fellow – The Australian Ad Observatory
For this role we’re looking for someone who is an expert in computational methods and statistical/data analysis, with an appreciation of issues in communication and media. You will use your skills in this area for the development of research infrastructure and methods to observe dark, ephemeral, and automatically generated ad content and sequences, extending a prototype Mobile Ad Observatory Toolkit that collects digital ads from participant’s mobile phones. You will develop tools and approaches to automatically identify defined categories of advertising (such as political ads and ads for harmful products and services). You will also help gather data and evidence to inform the development of detailed accounts of advertising explanatory models and help conceptualise and develop time-series models to analyse and compare ad sequences and question the automated processes behind them. Strong software development skills are a definite plus as we place a strong importance in the work you develop being of immediate use for the wider team involved in this project. The successful applicant will join a team of other computational social scientists, software developers and data scientists in the QUT Computational Lab @ QUT Digital Media Research Centre.
Supervised by Professor Daniel Angus | Position description 24557
Postdoctoral Research Fellow – Investigating the Diversity of Search Results
You will lead research that systematically assesses the diversity and quality of organic and paid search results and other content on search results pages from leading search engines, as systematically prompted by generative AI systems simulating the diversity of search queries employed by human users when searching for a given topic, and contribute to collaborative work in a multi-institutional ADM+S team that investigates the impact of search query variations on the quality of information retrieved. Strong software development skills are a definite plus as we place a strong importance in the work you develop being of immediate use for the wider team involved in this project. The successful applicant will join a team of other computational social scientists, software developers and data scientists in the QUT Computational Lab @ QUT Digital Media Research Centre.
Supervised by Professor Axel Bruns | Position description 24556