Postdoc: AI-Driven Digital Humanities & Philosophy of Science

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

Resumo da vaga

The University of Sydney invites applications for a Postdoctoral Research Associate in Digital Humanities / Philosophy of Science to develop and deploy bibliometric methods and text classification models for large text corpora. You will lead the construction of corpora from media, social media and academic sources, and build automated classification pipelines using ML/LLM.

This role supports ARC Discovery Projects and requires collaboration across philosophy, history, psychology, and science

Qualificações

• PhD in digital humanities or a closely related field.
• Experience curating, cleaning and structuring large text corpora.
• Experience using NLP/ML to build and evaluate text classification models.
• Experience with prompt engineering techniques.
• Ability to collaborate across disciplines and communicate clearly in writing.

Responsabilidades

• 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).

Conhecimentos

PhD in digital humanities

Large corpora curation

NLP ML for text

Prompt engineering

Interdisciplinary collaboration

Research-to-computation mapping

Strong writing/publication record

Formação

PhD in digital humanities or related field

Ferramentas

Python

NLP toolkits

Descrição da vaga

The University of Sydney invites applications for a Postdoctoral Research Associate in Digital Humanities / Philosophy of Science to develop and deploy bibliometric methods and text classification models for large text corpora. You will lead the construction of corpora from media, social media and academic sources, and build automated classification pipelines using ML/LLM.

This role supports ARC Discovery Projects and requires collaboration across philosophy, history, psychology, and science