Postdoctoral Research Position: Safe and Explainable Multiagent Reinforcement Learning, Computer Science

We invite applications for a 2-year postdoctoral research position in Safe and Explainable Multiagent Reinforcement Learning (MARL). This position is supported by an NSF-funded project focused on developing foundational methods for ensuring the safety and interpretability of MARL systems.

Requirements

• Ph.D. in Computer Science, Electrical Engineering, or a related field
• Strong background in reinforcement learning (preferably MARL)
• Proficiency with machine learning tools (e.g., PyTorch, RL libraries)
• Strong publication record in relevant venues (e.g., NeurIPS, ICLR, AAAI, AAMAS)
• Strong communication and collaboration skills

Benefits

• Paid time off
• Health insurance
• Retirement plan
• Tuition reimbursement