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Christian Hardmeier

5 months ago

PhD in Uncertainty Quantification and Communication for Large Language Models IT University of Copenhagen in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position at the IT University of Copenhagen. Employment and salary follow the Danish AC agreement and university job structure for academic staff. The position lasts 3 or 4 years depending on degree level.

Deadline

Expired

Country flag

Country

Denmark

University

University of Copenhagen

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Keywords

Computer Science
Data Science
Machine Learning
Psychology
Information Technology
Natural Language Processing
Psycholinguistics
Uncertainty Analysis
Computational Linguistics
Statistics
Pragmatic
Linguistics
Large Language Models

About this position

The IT University of Copenhagen is advertising a fully funded PhD position in natural language processing and computer science focused on uncertainty quantification and how large language models can express confidence in ways users understand.

The project combines NLP, machine learning, and experimental linguistics. The successful candidate will develop methods for controllable uncertainty expression in LLMs and study how communicated confidence aligns with users’ perceptions. The work includes both computational development and validation through user studies with human participants.

The position is based at the IT University of Copenhagen and is jointly led by Christian Hardmeier (ITU), Jes Frellsen (Technical University of Denmark), and Hannah Rohde (University of Edinburgh). An extended research stay in Edinburgh is an essential part of the project.

Eligibility depends on degree level: applicants for the 3-year route should hold a master’s degree or equivalent in computational linguistics, NLP, data science, AI, computer science, experimental linguistics, or a related field; applicants for the 4-year route should hold a bachelor’s degree in one of those areas plus one year of master’s-level study. Strong Python skills are required, and experience with natural language data, PyTorch, LLM training/fine-tuning/evaluation, semantics/pragmatics, psycholinguistic studies, and academic publishing are desirable.

The application deadline is 24 June 2026 at 23:59 CEST. Applications must be submitted in English through the university’s e-recruitment system and include a cover letter, CV, degree certificates, statement of purpose, and proof of English proficiency. Publications or a master’s thesis are recommended but not required.

Funding details

Fully funded PhD position at the IT University of Copenhagen. Employment and salary follow the Danish AC agreement and university job structure for academic staff. The position lasts 3 or 4 years depending on degree level.

What's required

Applicants need a master’s degree or equivalent (120 ECTS) in computational linguistics, natural language processing, data science, artificial intelligence, computer science, experimental linguistics, or a related field for the 3-year programme; alternatively, a bachelor’s degree in one of those fields plus one year of master’s-level university study for the 4-year programme. Strong Python programming skills are required. Desirable qualifications include experience with natural language data, PyTorch or similar machine learning frameworks, training/fine-tuning/evaluating large language models, knowledge of semantics or pragmatics, experience with psycholinguistic studies involving human participants, and academic publishing experience. Applicants must submit all documents in English and provide documentation of English proficiency.

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Professors

Associate Professor

University Name
Country flag

Denmark

Research Interests

Psycholinguistics

Computational Linguistics

Linguistics

Machine Learning

Information Technology

Professor

University Name
Country flag

Denmark

Research Interests

Psycholinguistics

Statistics

Information Technology

Uncertainty Analysis

Data Science