PhD scholarship in Artificial Intelligence

Syddansk Universitet; Odense; On-site; DKK 240,000 - 320,000; Full time

Job summary

Syddansk Universitet in Odense invites applications for a PhD scholarship in Artificial Intelligence. The successful candidate will join the Odense NLP group within the Centre for Machine Learning and contribute to advanced language-model research.

Applicants should have an MSc in Computer Science, Data Science, Physics, Applied Mathematics or Computational Statistics, with fluency in English and Python. Knowledge of Rust/C++ and DL stacks is a plus.

Qualifications

• MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or related field.
• Fluency in English and Python required; Rust/C++, DL stacks knowledge and ML frameworks are pluses.
• MSc candidates about to complete will be considered with supervisor statement.

Responsibilities

• Contribute to development of advanced language models and derived use cases.
• Focus on LLM customization and test-time scaling.
• Explore agentic behaviour, tool use, multi-modality and interactivity.

Skills

Python

English

Deep learning

ML frameworks

Rust/C++ (plus)

Education

MSc in Computer Science or Data Science

MSc in Physics / Applied Mathematics / Computational Statistics

Job description

PhD scholarship in Artificial Intelligence

The ideal candidate has a background in or experience with one or more of the following topics:

• Development of deep learning models
• Mathematical foundations of machine learning
• Optimal deployment of AI systems

The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science.

Fluency in English and Python are required. Fluence in Rust/C++, experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks are pluses.

MSc candidates about to complete will also be considered and should attach a statement from their supervisors regarding their impending completion.

The successful candidate will contribute to the development of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project:

• LLM customization and test-time scaling
• Agentic behaviour and tool use
• Multi-modality and interactivity

The successful candidate will become part of the Odense NLP group under the Centre for Machine Learning . The centre is part of the Data Science & Statistics section at the Department of Mathematics and Computer Science . The department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across research groups, departments and faculties, and with other organisations like educational institutions, municipalities, and companies. The degrees offered by the department include BSc and MSc degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science.