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

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Job Description Summary

Job Description

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.

Additional Job Description

Time Type Requirement

Note to Applicant:

This position profile identifies the key responsibilities and expectations for performance. It cannot encompass all specific job tasks that an employee may be required to perform. Employees are required to follow any other job-related instructions and perform job-related duties as may be reasonably assigned by his/her supervisor.

In order to provide a safe and productive learning and living community Wake Forest University conducts background investigations and drug screens for all final staff candidates being considered for employment.

Equal Opportunity Statement

The University is an equal opportunity employer and welcomes all qualified candidates to apply without regard to race color religion national origin sex age sexual orientation gender identity and expression genetic information disability and military or veteran status.

Accommodations for Applicants

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