Postdoc: AI Text Analytics in DH & Philosophy of Science

Times Higher Education; Sydney; Presencial; AUD 118.000 - 126.000; Tempo integral

Resumo da vaga

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 across large bodies of text from academic, media and social sources.

You will design, train and validate new models, curate corpora, build pipelines with NLP/LLM techniques, and contribute to publications while advancing open science through public code and data.

Qualificações

• PhD in a relevant field in the digital humanities or related area.
• Experience curating, cleaning and structuring large text corpora.
• Experience using NLP/ML to build and evaluate text classification models.
• Experience in prompt engineering techniques.

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 interpretation of outputs in light of philosophical and psychological theories.
• Co-author peer‑reviewed publications and conference presentations.
• Contribute to open science practices, including code, data and documentation for OSF.

Conhecimentos

NLP

ML

Prompt engineering

Text classification

Data curation

Interdisciplinary collaboration

Formação

PhD in a relevant field

Ferramentas

Python

Machine learning frameworks

Descrição da vaga

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 across large bodies of text from academic, media and social sources.

You will design, train and validate new models, curate corpora, build pipelines with NLP/LLM techniques, and contribute to publications while advancing open science through public code and data.