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Publisher
source

Technical University of Denmark

PhD scholarship

PhD Scholarship in Uncertainty Quantification for Large Language Models Technical University of Denmark in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 7, 2026

Country flag

Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Uncertainty Analysis
Statistics
Large Language Models
Machine learning

Suggested scholarships

About this position

PhD scholarship opportunity in Uncertainty Quantification for Large Language Models at the Technical University of Denmark, Denmark.

This opening is relevant for applicants with interests in computer science, artificial intelligence, machine learning, large language models, statistics, and mathematics. The post highlights a doctoral scholarship focused on uncertainty quantification, which may suit candidates working on model reliability, probabilistic methods, evaluation, and trustworthy AI.

The announcement is shared by Mohamed Abioui, a collaborator member at the MARE-Marine and Environmental Sciences Centre, Department of Earth Sciences, University of Coimbra. The actual position is at the Technical University of Denmark.

No detailed eligibility criteria are provided in the post beyond the research topic. No waiver, stipend amount, or tuition details are mentioned in the text provided.

Deadline: 7 August 2026.

How to apply: Use the external application portal linked in the post and submit the application before the deadline.

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

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