Samia Touileb
1 week ago
PhD position in Ethical Challenges in NLP at the University of Bergen University of Bergen in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Norway
University
University of Bergen

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Continue to applicationKeywords
About this position
PhD opportunity at the University of Bergen in Natural Language Processing, with a focus on ethical challenges in NLP. The project is centered on topics such as bias, fairness, safety, and value alignment, and is affiliated with the Department of Information Science and Media Studies.
The position is announced by Samia Touileb, Associate Professor in Natural Language Processing at the University of Bergen. The post emphasizes that the successful candidate will have flexibility to develop and shape their own research questions while contributing to the broader goal of building responsible and ethically grounded NLP systems.
This is a 4-year PhD position. The post does not provide detailed funding figures in the excerpt, but it is presented as a formal doctoral opening rather than a scholarship. No explicit waiver, deadline, or language-test exemption is mentioned in the provided text.
Interested applicants should review the full announcement and application instructions via the official Jobbnorge posting linked in the post. If you have questions or need more information, you can contact the announcer directly.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Official Email
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.