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Job Description Summary

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.

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.

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

Full time

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

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.