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University of Southern Denmark

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PhD scholarship

PhD Scholarship in Artificial Intelligence and Computer Science University of Southern Denmark in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Three-year salaried PhD scholarship/appointment at a competitive salary under the PhD study programme at the Faculty of Science. Salary and conditions follow the applicable collective agreement; no tuition details are stated.

Deadline

Sep 7, 2026

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Country

Denmark

University

University of Southern Denmark

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Keywords

Computer Science
Data Science
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Natural Language Processing
Python Programming
Statistics
Physics
Large Language Models
ML

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About this position

PhD scholarship in Artificial Intelligence and Computer Science at the University of Southern Denmark (Odense M, Denmark), hosted by the Department of Mathematics and Computer Science and linked to the Danish Foundation Models initiative.

The project sits in the Odense NLP group within the Centre for Machine Learning / Data Science & Statistics section. Research themes include LLM customization and test-time scaling, agentic behaviour and tool use, and multi-modality and interactivity, with broader interests in deep learning, mathematical foundations of machine learning, and optimal deployment of AI systems.

Funding: three-year salaried PhD appointment at a competitive salary under the Faculty of Science PhD programme. The post is full-time and follows the Danish PhD study programme.

Eligibility: applicants should hold a relevant MSc degree by the enrollment/employment date; candidates close to completion may also apply if they provide a supervisor statement confirming impending completion. Suitable backgrounds include Computer Science, Data Science, Physics, Applied Mathematics, Computational Statistics, or another field with sufficient preparation in AI, mathematics, and data science. English and Python fluency are required; Rust/C++, deep learning software stacks, software development experience, and machine learning frameworks are advantageous.

Application: submit the application in English via the SDU “Apply now” portal. Include a motivated application, CV, degree certificates and transcripts, publication list, up to three relevant publications as separate PDFs, referee contact details, and a statement of other relevant qualifications. Shortlisting may be used.

Deadline: 7 September 2026 at 23:59 CET/CEST.

Funding details

Three-year salaried PhD scholarship/appointment at a competitive salary under the PhD study programme at the Faculty of Science. Salary and conditions follow the applicable collective agreement; no tuition details are stated.

What's required

Applicants must hold a relevant MSc degree by the enrollment/employment date; MSc candidates close to completion may apply with a supervisor statement. Relevant backgrounds include Computer Science, Data Science, Physics, Applied Mathematics, Computational Statistics, or another field with sufficient preparation in computer science, artificial intelligence, mathematics, and data science. Fluency in English and Python is required. Experience with Rust/C++, deep learning software stacks, extensive software development, and machine learning frameworks are considered advantages.

How to apply

Apply electronically via the 'Apply now' link on the SDU career site. Prepare the application in English and upload a motivated application, CV, degree certificates and transcripts, publications if any, up to three relevant publications as separate PDFs, referee contact details, and a statement of other relevant qualifications. Read SDU's application guidance before submitting.

More information can be found here

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