Join Our What’sApp Channel for updates, guidance, and tips on the application process.University of Copenhagen PhD Fellowship 2025 in Interpretable Natural Language Processing (Fully Funded)
The University of Copenhagen (UCPH), ranked among Europe’s top universities, invites applications for a prestigious PhD fellowship in Interpretable Natural Language Processing (NLP). The fellowship is set to begin September 1, 2025 and offers a remarkable opportunity for aspiring researchers to contribute to groundbreaking work in machine learning (ML) and NLP.
Fellowship Overview
This fully funded PhD position focuses on developing innovative methods to interpret and explain the inner workings of NLP models, aligning with the CopeNLU research group’s objectives of interpretability, explainability, and responsible AI development. As a PhD candidate, you will work alongside renowned experts and contribute to cutting-edge AI research.
Supervisors:
Main Project Supervisor: Pepa Atanasova
Co-Supervisor: Prof. Isabelle Augenstein
Research Environment:
Join an international, vibrant research team.
Collaborate with CopeNLU and global research partners.
Work on both foundational and applied research in areas such as explainable AI, fact-checking, and question answering.
PhD Program Structure
Type: Full-time PhD program (5+3 scheme) – 3 years.
Responsibilities:
Conduct independent, high-impact research.
Complete PhD-level coursework (approx. 30 ECTS).
Participate in international research collaborations.
Engage in teaching, knowledge dissemination, and publishing.
Write and defend your PhD thesis.
Available Subjects
The fellowship focuses on the following subjects:
Machine Learning
Computer Science
Artificial Intelligence
Benefits of the Fellowship
Full-time paid position for up to 3 years, with a competitive salary and pension under the Danish AC agreement.
No tuition fees – You will be employed as a PhD fellow, not as a student.
Expert supervision by Pepa Atanasova and Prof. Isabelle Augenstein in NLP and explainable AI.
Collaborative research opportunities with CopeNLU and global research partners.
Access to cutting-edge AI and ML resources, including the Pioneer Centre for AI.
Opportunities for international research stays and academic conferences.
Professional development through teaching, publishing, and coursework (30 ECTS).
Living in Copenhagen, one of the world’s most livable cities, known for its excellent healthcare, safety, and work-life balance.
Eligibility Criteria
To be eligible for this fellowship, applicants must:
Hold a Master’s degree (MSc) in Computer Science, Machine Learning, Artificial Intelligence, or a related field (or equivalent qualification).
Demonstrate a strong background in NLP or ML.
Exhibit excellent written and oral communication skills in English.
Provide evidence of previous research, scientific publications, or relevant work experience (if available).
Show a curious mindset and strong motivation to explore interpretable NLP.
Additional qualifications include:
Experience in programming and data analysis.
Strong teamwork and collaboration skills.
Why Apply?
Work at a top-tier European university.
Contribute to groundbreaking NLP research.
Collaborate with international experts in interpretable AI.
Access state-of-the-art AI and ML resources.
Enjoy outstanding career development opportunities.
Experience life in Copenhagen, one of the world’s best cities for quality of life.
Application Procedure
Application Requirements:
To apply, submit the following documents (in English):
Cover Letter – outlining your motivation and background.
Research Statement – describing your proposed research focus and goals.
Curriculum Vitae (CV).
Academic transcripts and degree certificates (with English translation, if necessary).
Publication list (if applicable).
Reference letters (optional at submission; required for shortlisted candidates).
Application Deadline:
May 15, 2025 (23:59 GMT+1).
Click “Apply Now” below to begin your application journey.
Don’t miss out on this incredible opportunity to advance your career in NLP and AI at one of Europe’s leading universities. Apply now!
