PhD Position in Multi-Agent Reinforcement Learning and Game Theory

2 weken geleden


Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam Voltijd

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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