University of Copenhagen PhD Fellowship 2025 in Interpretable Natural Language Processing (Fully Funded)
Are you passionate about explainable AI and natural language processing (NLP)? The University of Copenhagen is offering a fully funded PhD Fellowship in Interpretable NLP starting September 1, 2025. This prestigious opportunity is open to international students with a background in computer science, machine learning, or artificial intelligence.
About the Fellowship
The Department of Computer Science at the Faculty of Science invites applications for a full-time PhD position, funded for 3 years. This is within the CopeNLU research group, which is renowned for pioneering research in explainable and responsible AI. You will be supervised by top researchers, including Pepa Atanasova and Prof. Isabelle Augenstein.
What You Will Research
The fellowship is on interpretable natural language processing. Your research will required creating novel ways of comprehending and explaining NLP models. Fact-checking, explainable AI, and question answering systems are some of the research areas. You will make contributions to foundational and applied research in AI transparency.
Program Structure
- Full-time, 3-year PhD under the 5+3 scheme
- 30 ECTS PhD-level coursework
- Independent research and publication in scientific journals required
- Opportunity to Participation in teaching and international collaboration
- Final thesis submission
Why Choose This Fellowship?
- Completely paid job with competitive wage and pension package in accordance with the Danish AC collective agreement
- No fees: You are employed, not a full-time student with tuition fees
- Guidance from world-leading researchers in explainable AI
- Join the lively CopeNLU team and Pioneer Centre for AI
- Chances of global research stays and prime conference attendance
- Teaching training, publication, and academic writing training
- Life in Copenhagen, a secure, green, and child-friendly city
Eligibility Criteria
To qualify, applicants must:
- Hold a Master’s degree in Computer Science, Machine Learning, AI, or a related field
- Show strong knowledge in NLP or machine learning
- Communicate fluently in English, both written and spoken
- Demonstrate interest and motivation in interpretable NLP research
- Provide academic transcripts and degree certificates
- Include any relevant publications or work experience (preferred but not required)
Additional Desired Skills
- Strong programming and data analysis experience
- Collaborative mindset and team skills
- Previous research or technical project experience
Application Process
To apply, submit the following documents in English:
- Cover letter explaining your motivation and background
- Research statement outlining your interests and goals
- CV and academic transcripts
- Degree certificates (translated if needed)
- Publication list (if any)
- Reference letters (optional for initial application)
Deadline
Applications close on 15 May 2025 at 11:59 PM (GMT+1). Late submissions will not be considered.
Read Mpre to join a world-leading research community and shape the future of AI transparency in PhD Fellowship 2025 in Interpretable Natural Language
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