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Winston-Salem, NC, USA

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

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

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.

Essential Functions:

You will work with the PI and collaborators in advancing theoretically sound and practically applicable MARL algorithms, with an emphasis on safety, explainability, and robust real-world deployment. The postdoctoral researcher will contribute to one or more of the following areas:

  • Safe Learning in MARL
    • Learning robust policies under uncertainty with built-in safety mechanisms
  • Policy Explainability and Testing
    • Developing tools and methods to visualize, explain, and verify MARL policies
  • Robustness and Fault Tolerance
    • Designing MARL algorithms resilient to adversarial conditions or partial failures

Required Education, Knowledge, Skills, Abilities:

  • 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

Preferred Education, Knowledge, Skills, Abilities:

  • Experience in formal verification, interpretability, or AI safety
  • Interest in interdisciplinary research and real-world impact

Accountabilities:

  • Responsible for own work.

Physical Requirements:

  • Sedentary work primarily involves sitting/standing; communicating with others to exchange information; repeating motions that may include the wrists, hands, and/or fingers; and assessing the accuracy, neatness, and thoroughness of the work assigned.

Environmental Conditions:

  • No environmental conditions.

Application Instructions: To apply, please submit: 1. A cover letter describing your background and research interests 2. Curriculum vitae (CV) 3. Two representative publications 4. Contact information for 2–3 references. Applications will be reviewed on a rolling basis until the position is filled.

If you are an individual with a disability and need an accommodation to participate in the application or interview process, please contact AskHR@wfu.edu or (336) 758-4700.

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