University of Oxford
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LLM/MechInterp Postdoc in Theology and AI at University of Oxford University of Oxford in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
Three-year, full-time postdoctoral role funded by the John Templeton Foundation as part of the God and the Machine project.
Country
United Kingdom
University
University of Oxford

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About this position
University of Oxford is advertising a three-year, full-time postdoctoral role in LLMs / mechanistic interpretability with a distinctive interdisciplinary focus on theology and science and religion. The position sits in the Ian Ramsey Centre for Science and Religion, part of the Faculty of Theology and Religion, with offices in the Schwarzman Centre for the Humanities.
The project is called God and the Machine and is funded by the John Templeton Foundation. The post is aimed at someone who wants to bring computer science expertise into conversation with theology. A theology qualification is not required, but applicants should have a strong background in a relevant science or engineering discipline and either already hold a PhD/DPhil or be close to completing one.
This is a good fit for candidates interested in large language models, mechanistic interpretability, and interdisciplinary research at the boundary of computer science, religious studies, and philosophy of religion. The post is being shared by Dr Lyndon Drake, a Research Fellow at Oxford, who is part of the team.
To apply, use the Oxford CoreHR recruitment link in the post and submit the online application. No deadline is stated in the post.
Funding details
Three-year, full-time postdoctoral role funded by the John Templeton Foundation as part of the God and the Machine project.
What's required
Applicants need a PhD/DPhil in a relevant science or engineering discipline, or to be close to finishing. Interest in bringing CS expertise into conversation with theology is required; no theology qualification is needed.
How to apply
Apply through the University of Oxford recruitment portal using the provided CoreHR link. Review the job details and submit the application online.
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