PhD Fellowship, Mechanistic Interpretability for Large Language Model Security
University of Copenhagen, Department of Computer Science · Added today
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AI Safety & Alignment
Copenhagen, Denmark
In this fellowship, you'll research mechanistic interpretability methods to improve LLM security and mitigate false information attacks.
Develop novel mechanistic interpretability methods and evaluation protocols across different model lifecycle stages.
Collaborate with supervisors, postdoctoral researchers, and external partners to advance mechanistic interpretability.
Author and publish research papers in high-impact venues and disseminate findings nationally and internationally.
Undertake PhD courses in academic writing and specialised ML/NLP topics, and conduct research abroad.
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