Post-Doctoral Fellowship in Agentic Red Teaming of AI Models

Description

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.

Equal Employment Opportunity Statement

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.