The Heinz College of Information Systems and Public Policy at Carnegie Mellon University invites applications for a Postdoctoral Fellowship focused on the red teaming of AI systems. This position is part of the AI Measurement Science and Engineering Center (AIMSEC), a university-wide initiative dedicated to advancing rigorous methods for evaluating, stress-testing, and securing AI systems.

We seek a scholar interested in developing next-generation methods for agentic red teaming — including reinforcement learning–based adversarial policy generation, automated vulnerability discovery, and modeling of human red teaming behaviors in networked and cyber-physical systems. The fellow will work with an interdisciplinary group of faculty spanning computer science, public policy, systems engineering, and behavioral science.

Areas of interest and emphasis include:

Reinforcement learning for automated adversarial testing
Multi-agent and adversarial learning frameworks
Red teaming of foundation models and networked AI systems
Human-in-the-loop adversarial modeling

The fellow will have the opportunity to define independent research directions, lead publications, and collaborate across the CMU ecosystem.

The Heinz College is a multidisciplinary academic unit focused on problem-driven research addressing societal challenges. AIMSEC brings together faculty across CMU to advance the science of AI evaluation and robustness. The postdoctoral fellow will engage with researchers across engineering, computer science, and policy.

Qualifications

Applicants should have received a Ph.D. within the past year (or expect to receive one by September 2026) in Computer Science, Machine Learning, Electrical Engineering, Operations Research, or a related field. Successful candidates will demonstrate:

Strong technical background in reinforcement learning
Evidence of research in adversarial ML, multi-agent systems, cyber-physical systems, or related domains
A publication record in leading venues
Interest in real-world AI safety and security challenges
Value working in an inter-disciplinary environment

Application Instructions

Applications should include a cover letter, a C.V., up to two research papers, and contact information for three professional references. In their cover letter, applicants are invited to describe how they would be a particularly good fit for Heinz College and this opportunity. Applications will be reviewed beginning April 1, 2026. Applications will be accepted until the position is filled.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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