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The University of Copenhagen (UCPH), one of the leading universities in Europe, is looking for applicants for a PhD fellowship in Interpretable Natural Language Processing (NLP). The fellowship starts on September 1, 2025, and is a great chance for budding researchers to get involved in exciting work in machine learning (ML) and NLP.
Fellowship Overview
This funded PhD position is all about finding new ways to understand and explain how NLP models work. It fits right in with the goals of the CopeNLU research group, which focuses on making AI more understandable and responsible. As a PhD student, you'll have the chance to work with top experts and be part of exciting AI research.
Scholarship Details
|
Host Country |
Denmark |
|
Provider |
University of Copenhagen – Department of Computer Science |
|
Degree Level |
PhD Fellowship |
|
Eligible Courses |
Interpretable Natural Language Processing (NLP) |
|
Benefits |
Monthly Stipend |
|
Eligible Nationalities |
All nationalities are eligible |
|
Deadline |
June 1, 2025 |
Benefits of the Fellowship
- We have a full-time paid position available for up to 3 years, offering a good salary and pension according to the Danish AC agreement.
- You'll be a PhD fellow, so there are no tuition fees to worry about.
- You'll get expert guidance from Pepa Atanasova and Prof. Isabelle Augenstein, who specialize in NLP and explainable AI.
- There are chances to work on research projects with CopeNLU and partners around the world.
- You'll also have access to the latest resources in AI and ML at the Pioneer Centre for AI.
- Plus, you can attend international research stays and academic conferences, which is a great way to learn and network.
- And you'll be living in Copenhagen, which is one of the best cities in the world for quality of life, with great healthcare, safety, and a nice work-life balance.
Eligibility Criteria
To apply for this fellowship, you need to:
- Have a Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a similar field (or something equivalent).
- Have a solid background in NLP or ML.
- Be good at writing and speaking in English.
- Share any research, publications, or relevant work experience if you have them.
- Be curious and eager to learn about interpretable NLP.
Other helpful skills include
- Experience with programming and data analysis.
- Good teamwork and collaboration skills.
Admission Deadline
The last date of application submission is 15th May, 2025.
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