Postdoc: AI-Driven Digital Humanities & Text Analysis

University of Sydney; Sydney; Presencial; AUD 118.000 - 126.000; Tempo integral

Resumo da vaga

The University of Sydney’s School of History and Philosophy of Science invites applications for a Postdoctoral Research Associate in Digital Humanities / Philosophy of Science. You will develop bibliometric methods and text classifiers to study concepts across texts, media and social sources, contributing to ARC projects and open science practices.

Join an interdisciplinary team of philosophers, historians, psychologists and scientists to advance empirical evidence and publish in peer‑reviewed

Qualificações

• PhD in digital humanities or related field
• Experience curating, cleaning and structuring large corpora
• Experience using NLP/ML for text classification
• Experience in prompt engineering techniques
• Strong writing and peer‑reviewed publications
• Ability to work independently and in an interdisciplinary team

Responsabilidades

• Curate, clean and structure large text corpora from news media, social media and academic literature
• Develop and refine automated classification pipelines using ML and LLM approaches
• Design prompting strategies to optimise classifier precision and recall
• Contribute to interpretation of outputs in light of theories in philosophy and psychology
• Co-author peer‑reviewed publications and conference presentations
• Contribute to open science practices, including preparing code, data and documentation for OSF

Conhecimentos

Curating large corpora

NLP/ML for text classification

Prompt engineering techniques

Interdisciplinary collaboration

Translating research questions to code

Academic writing & publications

Independent and team work

Formação

PhD in digital humanities

Ferramentas

Python

Descrição da vaga

The University of Sydney’s School of History and Philosophy of Science invites applications for a Postdoctoral Research Associate in Digital Humanities / Philosophy of Science. You will develop bibliometric methods and text classifiers to study concepts across texts, media and social sources, contributing to ARC projects and open science practices.

Join an interdisciplinary team of philosophers, historians, psychologists and scientists to advance empirical evidence and publish in peer‑reviewed