PhD Position on Reinforcement Learning: Join our research project “Reputation as a new route to cooperation in multi-agent reinforcement learning” at the Informatics Institute of the University of Amsterdam. Explore the opportunities and challenges of considering reputation systems as a tool for cooperation in complex multi-agent reinforcement learning environments.
PhD Position on Cooperation Through Reputation in Multi-Agent Reinforcement Learning
Designation:
PhD Candidate- Research Position
Table:
| Category | Details |
|---|---|
| Designation | PhD Candidate |
| Research Area | Multi-Agent Reinforcement Learning |
| Location | University of Amsterdam |
| Qualification | Master’s degree |
| Last Date | 2nd October 2024 |
Research Area:
Altruistic cooperation and reputation systems as a tool for cooperation in multi-agent reinforcement learning.
Location:
University of Amsterdam, Faculty of Natural Sciences, Mathematics & Informatics, Informatics Institute.
Eligibility/Qualification:
- A Master’s degree in Computer Science, Artificial Intelligence, Applied Mathematics/Physics, Complex Systems or related fields.
- A strong background/knowledge in computational modeling and reinforcement learning.
- Excellent programming skills preferably in Python, C++, or related languages. Experience with PyTorch is a plus.
- Strong communication, presentation, and writing skills with an excellent command of English.
- Highly motivated, diligent, independent, and creative.
- Socially engaged, eager to work in a multidisciplinary environment.
Job Description:
The selected candidate will be expected to:
- Conduct independent research in the area(s) of multi-agent systems simulation, multi-agent reinforcement learning, and game theory.
- Develop new (optimized) computational models and systematically evaluate them locally and in high-performance computing clusters.
- Read scientific literature and creatively suggest new research directions grounded in recent articles, in connection with cooperation, indirect reciprocity, reputation systems, and multi-agent reinforcement learning.
- Present research results at international conferences and workshops and write research articles to be published in academic journals and book chapters.
- Be an active member of the research community, participate in regular meetings, and collaborate with other researchers at the Informatics Institute.
- Assist in teaching activities and/or supervising students.
- Complete and defend a PhD thesis within the official appointment duration of four years.
How to Apply:
Interested and eligible candidates are invited to apply online via the provided link. Please ensure the application includes the following information (all files apart from the CV should be submitted in a single PDF):
- A motivation letter that explains the candidate’s choice for this position (max 1 page).
- A research statement on how to approach the project – solid and creative ideas will be greatly appreciated (max 2 pages).
- Curriculum vitae, including a list of publications if applicable.
- A link to the Master’s thesis. If not yet completed, a 1-page summary of goals and 1 figure summarizing the key results so far will suffice.
- A complete record of Bachelor and Master courses (including grades and an explanation of the grading system).
- The names and contact addresses of at least two academic references (please do not include any recommendation letters).
Last Date for Apply:
2nd October 2024
Please ensure to provide all the requested documents, as a knowledge security check may be part of the selection procedure.
Please note: The UvA is an equal-opportunity employer and prioritizes diversity. The preferred starting date is (until) March 2024, to be discussed during the interview(s).
For further inquiries, please reach out to Fernando P. Santos, Assistant Professor: E: f.p.santos@uva.nl.
