Beginning on September 1, 2025, the Department of Computer Science at the University of Copenhagen’s (UCPH) Faculty of Science is happy to accept applications for a distinguished PhD fellowship in Interpretable Natural Language Processing (NLP). This is a fantastic chance to work at one of the top universities in Europe and support innovative research at the nexus of NLP and machine learning.
The chosen applicant will work alongside top interpretable AI specialists in a vibrant and globally renowned research environment. They will have access to cutting-edge AI and ML technology, take advantage of fantastic career development opportunities, and live in one of the world’s most livable cities—Copenhagen. In keeping with the objectives of the CopeNLU research group, which is committed to promoting interpretability, explainability, and responsible AI, the study will concentrate on creating novel techniques to interpret and explain the behavior of NLP models.
Host Country: Denmark
University: University of Copenhagen
Opportunity Type: Fellowship
Eligibility Country: International Students
Financial Coverage: Fully Funded
Eligibility Criteria:
- A master’s degree (MSc) in computer science, artificial intelligence, machine learning, or a closely related field (or a comparable credential)
- strong background in machine learning (ML) or natural language processing (NLP)
- High level of fluency in both written and spoken English
- Evidence of a relevant professional background, scholarly papers, or research experience (if available)
- A strong desire to conduct research in interpretable natural language processing and an inquisitive, enquiring attitude
Benefits:
- Up to three years of full-time, fully funded PhD work with a competitive wage and pension in line with the Danish AC agreement
- There are no tuition costs because you will work as a PhD fellow instead of enrolling as a paying student.
- supervision of renowned NLP and explainable AI specialists Professor Isabelle Augenstein and Pepa Atanasova
- Access to the Pioneer Centre for AI and a dynamic, cooperative research environment made possible by CopeNLU and worldwide collaborations
- Possibilities to present at prestigious academic conferences and take part in overseas research stays
- thorough professional development via teaching responsibilities, coursework (30 ECTS), and high-impact journal publications
- Good job opportunities in in-demand domains like responsible AI, machine learning, and natural language processing
Deadline: 15 May 2025
