Postdoctoral Research Position: Safe and Explainable Multiagent Reinforcement Learning, Compute

Overview

The Department of Computer Science at Wake Forest University is seeking applications for a 2-year postdoctoral research position in Safe and Explainable Multiagent Reinforcement Learning (MARL).

Successful candidates should have a Ph.D. in Computer Science, Electrical Engineering, or a related field, a strong background in reinforcement learning (preferably MARL), proficiency with machine learning tools (e.g., PyTorch, RL libraries), a strong publication record in relevant venues (e.g., NeurIPS, ICLR, AAAI, AAMAS), and experience in formal verification, interpretability, or AI safety.

This position is supported by an NSF-funded project focused on developing foundational methods for ensuring the safety and interpretability of MARL systems.

For detailed information about the position and the corresponding application process, visit: (Use the "Apply for this Job" box below)./