PhD Position on Reinforcement Learning: This is an exciting PhD position offered by Utrecht University, focusing on the interpretability of communication in Deep Multi-Agent Reinforcement Learning (MARL). The project aims to utilize causal methods to understand how communication impacts the learning behaviors of MARL agents, ultimately enhancing their performance on multi-agent tasks.
PhD Position on Causal Effects of Communication in Multi-Agent Reinforcement Learning
Designation
PhD Candidate in Causal Effects of Communication in Multi-Agent Reinforcement Learning
| Category | Details |
|---|---|
| Research Area | Deep Multi-Agent Reinforcement Learning (MARL) |
| Location | Utrecht University, Utrecht, Netherlands |
| Eligibility/Qualification | – MSc in Computer Science or Artificial Intelligence – Strong background in Machine Learning – Experience in Reinforcement Learning and/or Causal Inference |
| Description | The position involves conducting research culminating in a dissertation, writing academic articles, and presenting findings at international conferences. Candidates will be part of a supportive network and have opportunities for teaching and supervising AI-related thesis projects. |
| How to Apply | Interested candidates should apply through the official portal. Ensure to include: – Motivation letter – Curriculum Vitae – Transcripts of all courses – Names and contacts of at least two referees – A copy of your Master’s thesis or a notable paper |
| Last Date to Apply | May 20, 2025 |
Key Features of the Position
- Duration of 18 months with potential extension to a total of four years based on performance.
- Gross monthly salary between €2,901 and €3,707, along with holiday pay and year-end bonuses.
- Opportunities for professional development, participation in summer schools, conferences, and workshops.
Additional Information
This PhD position is part of the Hybrid Intelligence project, a collaboration between the Intelligent Systems Lab at Utrecht University and the Amsterdam Machine Learning Lab at the University of Amsterdam. The goal is to create hybrid systems that intelligently integrate human and machine processes.
Candidates from underrepresented groups are particularly encouraged to apply, fostering an inclusive and diverse research environment.
For any further inquiries, please contact Dr. Shihan Wang at s.wang2@uu.nl or inquire about the application process at science.recruitment@uu.nl.
