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Postdoctoral Researcher in Mechanistic Understanding of AI Reasoning at University of Copenhagen, Denmark

The University of Copenhagen has four campus areas. As distances in Copenhagen are relatively small, it is easy to get from one campus to the other either by bicycle or public transportation. The campus areas are integrated into the city of Copenhagen and students use the facilities available in the city, adding a lively buzz to the streets and cafés of Copenhagen.

The Department of Computer Science (DIKU) at the University of Copenhagen is inviting applications for a fully funded Postdoctoral Researcher in Mechanistic Understanding of AI Reasoning. This research position is offered within the CopeNLU group and affiliated with the Pioneer Centre for AI under an ERC Starting Grant project titled Explainable and Robust Automatic Fact Checking (ExplainYourself).

Position Overview

DesignationPostdoctoral Researcher
Research AreaMechanistic Interpretability, Natural Language Processing (NLP), Machine Learning, Explainable AI (XAI)
InstitutionDepartment of Computer Science, Faculty of SCIENCE, University of Copenhagen
LocationCopenhagen, Denmark
Duration2 years (with potential extension depending on funding)
Start Date1 February 2027 (or as close to this date as possible)
Application Deadline30 September 2026, 23:59 CET

Job Description

The core objective of this postdoctoral position is to advance scientific understanding of how Large Language Models (LLMs) acquire, integrate, and reason over evolving, pluralistic knowledge through mechanistic interpretability methods.

Key responsibilities and research activities include:

  • Developing novel conceptual frameworks, mechanistic interpretability methods, or empirical studies targeting AI reasoning.
  • Investigating knowledge representation and reasoning mechanisms within modern LLMs.
  • Collaborating within the CopeNLU group and the Pioneer Centre for AI on transparent, fair, and accountable NLP.
  • Undertaking a small degree of teaching or academic supervision duties.
  • Publishing high-impact research findings in top-tier NLP and AI venues.

Eligibility and Qualifications

Candidates must meet the following criteria to be considered:

  • Education: A PhD degree or equivalent in Computer Science or a closely related quantitative field.
  • Background: An educational background, prior research, or work experience in Natural Language Processing (NLP), Machine Learning (ML), and/or Explainable AI (XAI).
  • Research Track Record: Proven scientific output through publications in recognized conferences or journals.
  • Language Proficiency: Excellent written and oral communication skills in English.

Salary and Terms of Employment

  • The appointment is structured according to the collective agreement between the Ministry of Taxation and AC (the Danish Confederation of Professional Associations).
  • Starting monthly salary is approximately 39,900 DKK (roughly €5,300 EUR), with possibilities for negotiation based on experience and qualifications.
  • The employer contributes an additional 18.07% toward a pension scheme.
  • International applicants and qualifying returning Danish researchers may be eligible for a favorable, reduced researcher tax scheme.

Required Application Documents

Applicants must assemble their materials in English and provide the following documents:

  1. Cover Letter: Detailing background, qualifications, and motivation for applying.
  2. Research Plan: Outlining current work and proposed research plans for the fellowship.
  3. Curriculum Vitae (CV): Detailed record of education, relevant work experience, language proficiency, and technical skills.
  4. Diplomas: Copies of Master’s and PhD degree certificates (or equivalent).
  5. Publication List: A complete and updated list of publications.
  6. Sample Publications: Separate reprints of 3 particularly relevant papers.
  7. References: Names and contact information for three academic references.

How to Apply

Applications must be submitted online through the University of Copenhagen’s centralized recruitment portal. Applications sent directly via email will not be considered.

For inquiries regarding the research project and scope, contact Professor Isabelle Augenstein at augenstein@di.ku.dk.


Apply Online Here

Important Dates

  • Application Deadline: 30 September 2026 (23:59 CET)
  • Interviews: Expected during Week 43 (19–23 October 2026)
  • Expected Commencement: 1 February 2027

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