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

External Applicants :

Please ensure all required documents are ready to upload before beginning your application, including your resume, cover letter, and any additional materials specified in the job description.

Cover Letter and Supporting Documents :

Navigate to the "My Experience" application page.

Locate the "Resume / CV" document upload section at the bottom of the page.

Use the "Select Files" button to upload your cover letter, resume, and any other required supporting documents. You can select multiple files.

Important Note : The "My Experience" page is the only opportunity to attach your cover letter, resume, and supporting documents. You will not be able to modify your application or add attachments after submission.

Current Employees :

Apply from your existing Workday account in the Jobs Hub. Do not apply from this website.

A cover letter is required for all positions; optional for facilities, campus services, and hospitality roles unless otherwise specified.

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

Robustness and Fault Tolerance

Required Education, Knowledge, Skills, Abilities :

Preferred Education, Knowledge, Skills, Abilities :

Accountabilities :

Physical Requirements :

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.