Post-Doctoral Fellow - LTI - School of Computer Science
Social Sciences
Analyze LLM-based commercial models: collect, simulate, and evaluate system data for pricing, incentives, resource allocation, and multi-stakeholder interactions.
Design commercial and incentive mechanisms using economics, game theory, and market design.
Develop software components, simulations, or prototypes integrating LLM pipelines with economic/game-theoretic mechanisms.
Collaborate with research teams and external partners to ensure technical feasibility and scalability.
Computer Science
Coordinate tasks to maximize productivity and contribute to a diverse, inclusive work environment.
Economics
- Ph.D. in Computer Science, AI/ML, or Data Science.
- Research experience in economics and/or game theory.
- Publications in top machine learning and/or economic conferences and journals.
- Strong theoretical analysis and practical programming skills.
Qualifications
- Ph.D. in Computer Science, AI/ML, or Data Science.
- Research experience in economics and/or game theory.
- Publications in top machine learning and/or economic conferences and journals.
- Strong theoretical analysis and practical programming skills.
Benefits & Perks
- Comprehensive medical, prescription, dental, and vision insurance.
- Generous retirement savings program with employer contributions.
- Tuition benefits, paid time off, and observed holidays.
- Life and accidental death & disability insurance.
- Regional transit pass, family concierge support, fitness center access, and more.
Culture & Values
CMU values diverse perspectives, collaboration, and innovation.
Employees are expected to support the university’s mission and maintain cultural sensitivity and flexibility.
Jobs Commitment to inclusion and equitable practices in all activities.
Additional Information
Learn more about CMU employment and benefits:
Why Carnegie Mellon
The position is full-time, fixed-term, and part of CMU’s Pre/Post-Doctoral Associates & Fellows program.