Research Fellow

1 week ago

Singapore Nanyang Technological University Full time

You will be expected to:
- Conduct cutting-edge research in:
- Multi-Agent Systems (MAS) for complex, dynamic, and uncertain environments.- Multi-Agent Reinforcement Learning (MARL), including cooperative, competitive, and mixed settings.- Collaborative decision-making frameworks and decentralized learning algorithms.- Adaptive, meta-learning, and context-aware strategies to enhance policy generalization across tasks.- Hierarchical and modular agent architectures to enable scalable coordination.- Design and implement simulation environments, integrating real-world data and domain-specific constraints, for model training and validation.- Perform visual analysis to visualize agent behaviors, emergent strategies, and system-level outcomes.- Contribute to:
- High-impact publications in top-tier AI conference and journals.- Internal knowledge transfer, and collaborative research efforts.- Develop and evaluate AI models, including, but not limited to, those for Multi-Agent Systems, Multi-Agent Reinforcement Learning, and Collaborative Decision-Making frameworks.- Design and implement simulation platforms and experimental pipelines for algorithm validation and visualize simulation and experimental results to support decision-making and research findings.

Qualifications & Competencies:
- Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field.- Strong foundation in multi-agent systems, MARL, Game Theory.- Strong background in Mathematics and modelling.- Good English writing and communication skills for research work.- Proficiency in Python, experience with PyTorch, NumPy, and relevant data science and machine learning tools.- Able to work independently and comfortably with a team and external/international collaborators.- Able to handle multiple tasks relevant to both project and research.- Experience in publication in top-tier AI conferences/journals is desired.- Experience in prototypes and intelligent tools development is desired.

Hiring Institution: NTU

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