Postdoctoral Research Associate - School of Computer Science - MLD

About the Role

The AI and Work initiative at Carnegie Mellon University seeks a Postdoctoral Research Associate to join a team advancing research at the nexus of AI, operations research, and decision-making, with applications to workforce policy and reskilling. The project builds on ongoing work using optimization-based models to predict future skill demands in key economic sectors due to emerging AI technologies. The postdoctoral researcher will extend this agenda through theoretical development, empirical testing, and evaluation of the model, including calibration via simulation and observational data analysis. The project includes industry partners and offers opportunities to work with public and private datasets (e.g., O*NET and Lightcast).

This position provides the opportunity to collaborate with leading scholars in AI/ML, Data Science, Operations Research, and Information Systems. The initiative is led by the directors of the NIST-funded AI Measurement Science and Engineering Center and the NSF-funded AI Institute for Societal Decision Making at Carnegie Mellon University.

Responsibilities

• Participate in and assist with manuscript writing for publication in scientific journals and presentations, and may assist in grant writing.
• Collect and analyze data, including literature searches and utilizing specialized skills to analyze collected data.
• Conduct research experiments within the predetermined research scope and methodology of the department and university.
• Lab maintenance, including equipment maintenance and ordering supplies, may be required depending on area and specialty.
• Other duties as assigned.

Requirements

• Doctorate degree (or near completion) in operations research, economics, computer science, data science, or a related quantitative field.
• Strong foundations in operations research/optimization modeling and econometric/statistical/ML analysis with a passion for applied problem-solving.
• Experience with large-scale data analysis and work with public and private datasets.
• Computer science background and ability to build data pipelines are a plus, as is fluency in modern AI tools.
• Strong communication, problem-solving, organization, and reasoning skills.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Generous retirement savings program with employer contributions.
• Tuition benefits.
• Ample paid time off and observed holidays.
• Life and accidental death and disability insurance.
• Free Pittsburgh Regional Transit bus pass.
• Access to the Family Concierge Team to help navigate childcare needs.
• Fitness center access.

Location: Pittsburgh, PA

Position Type: Full-time, Postdoctoral Associate / Fellow (Fixed Term)