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University of Copenhagen

University of Copenhagen Denmark PhD Fellowship 2025 in Interpretable Natural Language Processing (Fully Funded)

Scholarship
Denmark
On-site
Published May 3, 2025

Overview

The successful candidate will develop innovative methods to interpret and explain the inner workings of NLP models. The research will align with the objectives of the CopeNLU research group , focusing on interpretability , explainability , and responsible AI development.

Supervisors :

Description

The successful candidate will develop innovative methods to interpret and explain the inner workings of NLP models. The research will align with the objectives of the CopeNLU research group , focusing on interpretability , explainability , and responsible AI development.

Supervisors :

Main Project Supervisor : Pepa Atanasova

Co-Supervisor : Prof. Isabelle Augenstein

Research Environment :

Join a vibrant, international team

Collaborate with CopeNLU and international research partners

Contribute to both foundational and applied research in explainable AI, fact-checking, and question answering

Eligibility

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
Have excellent written and oral communication skills in English
Provide evidence of previous research, scientific publications, or relevant work experience (if available)
Exhibit a curious mindset and strong motivation to explore interpretable NLP

Additional Qualifications :

Professional qualifications relevant to the research area
Experience in programming and data analysis
Teamwork and collaboration skills

Additional Information

Fellowship Overview

The successful candidate will develop innovative methods to interpret and explain the inner workings of NLP models. The research will align with the objectives of the CopeNLU research group , focusing on interpretability , explainability , and responsible AI development.

Supervisors :

Main Project Supervisor : Pepa Atanasova
Co-Supervisor : Prof. Isabelle Augenstein

Research Environment :

Join a vibrant, international team
Collaborate with CopeNLU and international research partners
Contribute to both foundational and applied research in explainable AI, fact-checking, and question answering

Phd Program Structure

Type :

Three-year full-time PhD program (5+3 scheme)

Responsibilities :

Conduct independent research
Complete PhD-level coursework (approx. 30 ECTS)
Participate in international research collaborations
Engage in teaching and knowledge dissemination
Publish in high-impact scientific journals
Complete a PhD thesis

Available Subjects

Following subjects are available to study under this scholarship program.
Computer Science
Artificial Intelligence
Machine Learning

Benefits

Full-time paid position for up to 3 years with a competitive salary and pension under the Danish AC agreement.
No tuition fees — you’ll be employed as a PhD fellow, not charged as a student.
Supervision by top experts Pepa Atanasova and Prof. Isabelle Augenstein in NLP and explainable AI.
Collaborative research environment with CopeNLU and international partners, plus access to the Pioneer Centre for AI.
Opportunities for international research stays and attending/presenting at leading academic conferences.
Professional development through teaching, publishing in high-impact journals, and PhD coursework (30 ECTS).
Career advancement in high-demand areas like NLP, machine learning, and AI transparency.
Living in Copenhagen , a top-rated, safe, and family-friendly city with excellent healthcare and work-life balance.

Eligible Nationalities

This fellowship is open to applicants of all nationalities.

Eligibility Criteria

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
Have excellent written and oral communication skills in English
Provide evidence of previous research, scientific publications, or relevant work experience (if available)
Exhibit a curious mindset and strong motivation to explore interpretable NLP

Additional Qualifications :

Professional qualifications relevant to the research area
Experience in programming and data analysis
Teamwork and collaboration skills

Why Apply

Join a top-tier European university
Work on groundbreaking NLP research
Collaborate with international experts in interpretable AI
Access to state-of-the-art AI and ML resources
Excellent career development opportunities
Experience life in Copenhagen, one of the world’s most livable cities

Application Requirem Ents

Applicants must submit the following documents (in English):

Cover Letter outlining motivation and relevant background
Research Statement describing 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

15th May 2025 (23:59 GMT +1)
Click "Apply Now" down below to start your application journey.

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Funding

Fully Funded

Organization

University of Copenhagen

Degree

Fellowship

Subjects

Computer Science, Artificial Intelligence, Machine Learning

Nationality

International Students

Country

Denmark

Source

Information provided by scholarships_ads.

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