PhD Position in Multi-Agent Reinforcement Learning and Game Theory
2 weken geleden
About the Project
This PhD project focuses on cooperation through reputation in multi-agent reinforcement learning. The selected candidate will conduct independent research in the areas of multi-agent systems simulation, multi-agent reinforcement learning, and game theory.
Responsibilities
- Conduct research in multi-agent systems simulation, reinforcement learning, and game theory
- Develop computational models and evaluate them locally and in high-performance computing clusters
- Read scientific literature and suggest new research directions
- Present research results at international conferences and workshops
- Write research articles for publication in academic journals and book chapters
- Participate in regular meetings and collaborate with other researchers
- Assist in teaching activities and supervise students
- Complete and defend a PhD thesis within four years
Requirements
- MSc degree in Computer Science, Artificial Intelligence, Applied Mathematics/Physics, or related fields
- Strong background in computational modeling and reinforcement learning
- Excellent programming skills in Python, C++, or related languages
- Strong communication, presentation, and writing skills, with excellent English command
- Highly motivated, diligent, independent, and creative
- Socially engaged and eager to work in a multidisciplinary environment
About the Position
This is a temporary contract for 38 hours per week for four years. The preferred starting date is to be discussed during the interview. The gross monthly salary ranges from €2,305 to €3,111, depending on experience. The position includes an extensive package of secondary benefits.
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