University of Helsinki
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Fully Funded PhD in NLP: Cross-Lingual Transfer and Pretraining Data for Factual Tasks University of Helsinki in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
The position is described as fully funded. Salary information shown on the page estimates about €36,000–€59,500 per year.
Deadline
Sep 30, 2026
Country
Finland
University
University of Helsinki

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About this position
The University of Helsinki’s Language Technology research unit is recruiting a fully funded PhD student in NLP to study the role of pretraining data in cross-lingual transfer for factual tasks.
The project is hosted in Finland and involves collaboration with the Helsinki-NLP team on the FLaM project. Research themes include multilingual language models, factuality, transfer across languages, and data-centric analysis of large language models.
Supervision is by Jörg Tiedemann and Timothee Mickus at the University of Helsinki. The post is aimed at a PhD-level researcher with interest in computational linguistics, machine learning, and multilingual NLP.
Funding: The position is described as fully funded, with salary information on the page estimating roughly €36,000–€59,500 per year.
How to apply: Send an email to [email protected] and [email protected] using the subject line [crosslingual fact transfer, PhD application]. The deadline shown is 2026-09-30.
Funding details
The position is described as fully funded. Salary information shown on the page estimates about €36,000–€59,500 per year.
What's required
Applicants should be interested in research on cross-lingual transfer for factual tasks and the impact of pretraining data on multilingual LLMs. The post implies a PhD-level research profile and collaboration with the Helsinki-NLP team on the FLaM project. No specific degree, GPA, or language-test requirements are stated.
How to apply
Email [email protected] and [email protected] with the subject line “[crosslingual fact transfer, PhD application]”.
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