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Carnegie Mellon University

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Postdoctoral Research Associate in Agentic Marketplaces, AI Agents, and Algorithmic Game Theory Carnegie Mellon University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a full-time, fixed-term postdoctoral associate/fellow position paid on a salary basis. Benefits-eligible employees receive medical, prescription, dental, and vision insurance, employer-supported retirement savings, tuition benefits, paid time off, holidays, life and accidental death and disability insurance, a free Pittsburgh Regional Transit bus pass, family-support services, and fitness-center access. No specific salary or stipend amount is stated.

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Country

United States

University

Carnegie Mellon University

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Keywords

Computer Science
Mathematics
Network Security
Data Privacy
Game Theory
Market Efficiency
Robotics
Economics
Multi-agent System
ML

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About this position

Carnegie Mellon University in Pittsburgh, United States, is hiring a full-time Postdoctoral Research Associate in the Department of Electrical and Computer Engineering. The project investigates agentic marketplaces, where autonomous AI agents negotiate, transact, and coordinate with people and other agents on behalf of users and businesses.

The researcher will develop theoretical and empirical methods to study emergent strategic behavior, collusion, information leakage, manipulation, market efficiency, and fairness. Work will include building simulation testbeds for large language model-based agents, designing measurement and evaluation frameworks, and applying machine learning, multi-agent systems, algorithmic game theory, mechanism design, privacy, and security. The postdoc will lead publications, release open-source code and datasets, and help mentor graduate students.

Candidates should have a PhD in computer science, economics, or a related field and a strong background in machine learning, multi-agent systems, or algorithmic game theory. Responsibilities also include data and literature analysis, research experiments, manuscript preparation, presentations, and potentially grant writing.

This is a fixed-term, full-time salaried postdoctoral position with benefits including health, dental, vision, retirement contributions, tuition benefits, paid time off, transit access, family-support services, and fitness facilities. Applications should be submitted through Carnegie Mellon’s Workday portal.

Funding details

This is a full-time, fixed-term postdoctoral associate/fellow position paid on a salary basis. Benefits-eligible employees receive medical, prescription, dental, and vision insurance, employer-supported retirement savings, tuition benefits, paid time off, holidays, life and accidental death and disability insurance, a free Pittsburgh Regional Transit bus pass, family-support services, and fitness-center access. No specific salary or stipend amount is stated.

What's required

Applicants must hold a PhD in computer science, economics, or a related field, with a strong background in machine learning, multi-agent systems, or algorithmic game theory. Comparable knowledge demonstrated through a combination of education and relevant experience may be considered. The role also requires research, data analysis, experimentation, publication, and collaboration skills.

How to apply

Apply through Carnegie Mellon University's Workday application portal using the direct application link. Review the posting and submit the requested application materials through the portal.

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