University of Copenhagen
4 months ago
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PhD Fellowship and Postdoc in Explainable AI, LLM Security, and Mechanistic Interpretability University of Copenhagen in Denmark
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Both positions are at the University of Copenhagen and are offered in the context of a project funded by Independent Research Foundation Denmark. The PhD is a full-time position for up to 3 years under the regular PhD programme; the postdoc is also offered for 3 years. The postdoc notice mentions salary supplement negotiation is possible. No stipend amount is stated.
Deadline
Expired
Country
Denmark
University
University of Copenhagen

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About this position
University of Copenhagen is advertising PhD and postdoc opportunities in Explainable AI, LLM Security, Mechanistic Interpretability, and Natural Language Processing at the Department of Computer Science, Faculty of Science.
The PhD fellowship is titled āPhD fellowship in Mechanistic Interpretability for LLM Securityā. The project is part of āA Mechanistic Framework for Mitigating the Susceptibility of LLMs to Learning False Informationā, funded by Independent Research Foundation Denmark and led by Isabelle Augenstein and Pepa Atanasova. The research focus includes theoretical frameworks for LLM security, mechanistic interpretability methods, evaluation protocols, fact checking, cross-cultural learning, and responsible AI.
The postdoc position is titled āPostdoc in LLM Factuality Detectionā and is also within the same project. The postdoc will work on characterising false information used by LLMs across the model lifecycle and developing mitigation methods against false information attacks.
Eligibility highlights: the PhD requires a relevant MSc degree or equivalent in Computer Science or a related field plus strong English skills; the ideal candidate has ML/NLP background, publications, or work experience. The postdoc requires a PhD degree or equivalent in Computer Science or a related field plus strong English skills; experience in NLP, LLM security, and/or explainable AI is preferred.
Funding and terms: both positions are full-time and offered for up to 3 years. The postdoc notice mentions salary supplement negotiation is possible. No stipend amount is stated.
Application deadline: 31 May 2026, 23:59 GMT+1. Applications must be submitted electronically via the University of Copenhagen job portal. Required materials include a cover letter, research statement or research plan, CV, diplomas/transcripts, publication list, and references.
Supervisors and contacts: principal supervisor Prof. Isabelle Augenstein and co-supervisor Pepa Atanasova, both at the University of Copenhagen, Department of Computer Science.
Funding details
Both positions are at the University of Copenhagen and are offered in the context of a project funded by Independent Research Foundation Denmark. The PhD is a full-time position for up to 3 years under the regular PhD programme; the postdoc is also offered for 3 years. The postdoc notice mentions salary supplement negotiation is possible. No stipend amount is stated.
What's required
For the PhD, applicants must hold a MSc degree or equivalent in Computer Science or a related field, with good written and oral English skills; relevant background, publications, work experience, and prior ML or NLP experience are preferred. For the postdoc, applicants must hold a PhD degree or equivalent in Computer Science or a related field, with good written and oral English skills; relevant publications and prior research or work experience in Natural Language Processing, LLM Security, and/or Explainable AI are preferred. Both positions expect strong interest in explainable AI and LLM security, and the PhD call specifies that the project should be defined within the scope of mechanistic interpretability for LLM security.
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