Postdoctoral Research Associate - Digital Humanities / Philosophy of Science.
Core
Develop and deploy bibliometric methods and text classification models to identify concepts and conceptual patterns in large bodies of text from media, social media, and academic sources.
Role type
Postdoctoral Research Associate (Digital Humanities / Philosophy of Science)
Builds
Large text corpora and automated classification pipelines using machine learning and LLM approaches
Domain
Digital Humanities, Philosophy of Science, Natural Language Processing
Deliverable
production ML models
Required skills
PhD in relevant field, NLP, machine learning, text classification, prompt engineering, corpus curation, peer-reviewed publication
Preferred skills
interdisciplinary collaboration, translating conceptual questions to computational tasks
Technologies
LLM, machine learning, text classification models
Responsibilities
Curate, clean, and structure large text corpora; develop and refine automated classification pipelines; design prompting strategies; interpret classification outputs in light of philosophical theories; co-author publications; contribute to open science practices
Seniority
Postdoctoral, hands-on IC
