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Melih Kandemir
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PhD Position in Foundation Models for Multi-Agent Reinforcement Learning University of Southern Denmark in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Paid PhD research fellowship for three years; salaried PhD scholar under the Danish collective agreement. Salary range not specified in the advert.
Deadline
Dec 31, 2026
Country
Denmark
University
University of Southern Denmark
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About this position
The project is a PhD fellowship in the Centre for Machine Learning at the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA), University of Southern Denmark. The research focuses on probabilistic machine learning, with a particular emphasis on foundation-model-inspired approaches for multi-agent reinforcement learning.
The PhD student will investigate new algorithmic principles that enable large populations of learning agents to solve open-vocabulary control tasks from sparse reward signals. The project aims to produce new theoretical insights into the algorithmic roots of autonomous behavior, alongside representative demonstrations in challenging simulation environments.
The student will join the SDU Adaptive Intelligence Laboratory and work in a research environment described as vibrant and collaborative, with support from other lab members in both technical and social matters. IMADA is presented as a department that brings mathematicians and computer scientists together to support theoretically grounded data science research, and the successful candidate will contribute to high-quality research papers with the rest of the lab.
The position is embedded in a strong academic setting on the main campus in Odense, where the department is part of a broader university community with active data science research and coursework.
Funding details
Paid PhD research fellowship for three years; salaried PhD scholar under the Danish collective agreement. Salary range not specified in the advert.
What's required
Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or Theoretical Physics at the time employment starts; at least two Master’s-level courses in advanced machine learning with grades corresponding to the top 10% of the native grade scale; outstanding theoretical background in probabilistic machine learning and reinforcement learning; excellent spoken and written English; strong scientific programming skills are a plus, especially contributions to public code repositories or released source code; excellent course grades and scientific publications at major international peer-reviewed venues in core machine learning research are expected.
How to apply
Submit the application electronically via the Apply now link. Prepare a Declaration of Interest in English including a motivation letter, CV, degree diplomas and transcripts, and contact details for at least two referees. Use PDF files and apply before the deadline.
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Professors
Prof. at University of Southern Denmark
Denmark
Research Interests
Statistics
Artificial Intelligence
Computer Science
Machine Learning
Mathematics
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Review drafts and confirm requirements with the university.