Postdoc Fellow: AI Agents & Market Design

Carnegie Mellon University

Pittsburgh (Allegheny County)

On-site

USD 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Tuition benefits
Generous paid time off
Life and disability insurance
Transit pass

Job summary

Carnegie Mellon University in Pittsburgh invites applications for a Postdoctoral Associate / Fellow in the Department of Electrical and Computer Engineering. The role focuses on studying agentic marketplaces where autonomous AI agents negotiate, transact, and coordinate with users and businesses.

The successful candidate will develop theoretical and empirical methods, build simulation testbeds of LLM-based agents, and contribute to research on game-theoretic aspects, privacy, and security.

Qualifications

  • PhD in computer science, economics, or a related field with strong background in ML, multi-agent systems, or algorithmic game theory.
  • Proven ability to design and run theoretical and empirical studies.
  • Experience with publication and dissemination of research findings.

Responsibilities

  • Collect and analyze data through literature reviews and targeted experiments.
  • Conduct research experiments within the department and university guidelines.
  • Lab maintenance and equipment ordering as needed by area and specialty.
  • Assist in manuscript writing for publication in scientific journals and presentations; contribute to grant proposals.
  • Mentor and supervise graduate students as needed.

Skills

Machine learning
Multi-agent systems
Algorithmic game theory

Education

PhD in computer science or economics

Job description

Carnegie Mellon University in Pittsburgh invites applications for a Postdoctoral Associate / Fellow in the Department of Electrical and Computer Engineering. The role focuses on studying agentic marketplaces where autonomous AI agents negotiate, transact, and coordinate with users and businesses.

The successful candidate will develop theoretical and empirical methods, build simulation testbeds of LLM-based agents, and contribute to research on game-theoretic aspects, privacy, and security.

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