Postdoc, Digital Humanities & Philosophy of Science

The University of Sydney; Sydney; On-site; AUD 118,000 - 126,000; Full time

Job summary

The University of Sydney invites applications for a Postdoctoral Research Associate in Digital Humanities / Philosophy of Science in Camperdown. You will develop bibliometric methods and text classification models to explore concepts across academic, media and social texts.

Join a large, interdisciplinary team and contribute to ARC Discovery Projects on bioessentialism and related themes. Strong background in NLP/ML and experience with large text corpora is essential.

Qualifications

• PhD in digital humanities and related fields.
• Experience with large text corpora (curation, cleaning, structuring).
• Experience using NLP/ML to build and evaluate text classification models.
• Experience in prompt engineering techniques.
• Interest in interdisciplinary collaboration and translating research questions into computational tasks.
• Strong written communication and peer-reviewed publications.

Responsibilities

• 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 with code, data and documentation for public repositories (e.g. OSF).

Skills

NLP

Machine learning

Prompt engineering

Text classification

Interdisciplinary collaboration

Education

PhD in Digital Humanities

Job description

The University of Sydney invites applications for a Postdoctoral Research Associate in Digital Humanities / Philosophy of Science in Camperdown. You will develop bibliometric methods and text classification models to explore concepts across academic, media and social texts.

Join a large, interdisciplinary team and contribute to ARC Discovery Projects on bioessentialism and related themes. Strong background in NLP/ML and experience with large text corpora is essential.