• Full time, 2 years fixed term, with the potential for extension to a 3rd year
• Lead innovative research using AI-powered text analysis to reveal how concepts are used academically, in the media and across social
• Base Salary, Academic level A $117,936 - $125,896 + 17% superannuation 

About the opportunity

The School of History and Philosophy of Science is seeking a Postdoctoral Research Associate - Digital Humanities / Philosophy of Science to develop and deploy bibliometric methods and text classification models to identify concepts and conceptual patterns in large bodies of text.

This research forms a part of two ARC Discovery Project(s) ‘Genes germs and gender: the rise and impact of bioessentialism’ and ‘Symbiotic Synergies: How the Body Became a Chimera (1950-2000)’. The successful candidate will join a large, interdisciplinary research group of philosophers, historians, psychologists, and scientists, contributing empirical evidence to support the group's philosophical investigations.

Building on existing methodologies within the research group, the candidate will design, train, and validate new classification models capable of detecting conceptual and rhetorical features across large text corpora, and will lead the construction of these corpora from media, social media, and academic sources.

Your key responsibilities will be to:

• curate, clean and structure large text corpora from news media, social media and academic literature
• develop and refine automated classification pipelines using machine learning and LLM approaches
• design prompting strategies to optimise classifier precision and recall
• contribute to the interpretation of classification outputs in light of philosophical and psychological theories and concepts
• co-author peer-reviewed publications and conference presentations
• contribute to open science practices, including preparing code, data and documentation for public repositories (e.g. OSF).

About You

• a PhD in a relevant field in the digital humanities
• experience curating, cleaning and structuring large corpora
• experience using NLP and/or ML to build and evaluate text classification models
• experience in prompt engineering techniques
• an interest in interdisciplinary collaboration
• the ability to translate conceptual research questions into computational tasks
• strong written communication skills and a track record of peer-reviewed publication
• the ability to work independently and as part of a collaborative, interdisciplinary team.

Pre-employment checks and declarations 

Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University.  Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement 

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. 

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. 

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Simon Drew, Recruitment Operations, Human Resources at recruitment.sea@sydney.edu.au

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