Publisher
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Mohammad Atari

2 months ago

Postdoc in Historical Psychology, Middle East and North Africa, and Islamic History University of Massachusetts Amherst in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position; funding details are not specified in the post.

Deadline

Dec 31, 2026

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Country

United States

University

University of Massachusetts Amherst

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Keywords

Computer Science
Psychology
Cognitive Science
Social Psychology
Computational Science
Python Programming
History
Nlp
Creative Arts
Digital Humanities
Religion
Content Analysis
Middle East
Arabic Language
Morality
Statistics
Linguistics

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About this position

University of Massachusetts Amherst is hiring a postdoc in historical psychology with a project focused on psychological change in the Middle East and North Africa, with particular interest in Islamic history.

Thematic areas include religiosity, creativity, morality, and institutions. The post is especially relevant for researchers working across psychology, cognitive science, history, digital humanities, computational sciences, and related quantitative or text-based approaches.

Preferred applicants have a PhD or ABD status in social psychology, cognitive science, digital humanities, quantitative history, computational sciences, or a related field. Strong practical skills in NLP/text analysis, R, and Python are important, and experience with open-source LLMs is valued. Knowledge of Arabic and/or Persian would be a plus.

The position is based in person at UMass Amherst and is expected to start in Fall 2026 (flexible). The announcement says the deadline is rolling until the position is filled.

To apply, email the announcer with your CV and one representative/related paper.

Funding details

Postdoctoral position; funding details are not specified in the post.

What's required

Applicants should have a PhD or ABD status in social psychology, cognitive science, digital humanities, quantitative history, computational sciences, or a related field. Strong skills in NLP/text analysis, R, and Python are important. Hands-on experience with open-source LLMs is valued. Knowledge of Arabic and/or Persian is a plus.

How to apply

Email the announcer with your CV and one representative or related paper. The position is rolling until filled.

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