Postdoctoral AI and OR Researcher for Workforce Policy

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 55,000 - 70,000; Full time

Benefits offered by this job

Health insurance

Tuition benefits

Transit/commute support

Job summary

Carnegie Mellon University invites applications for a Postdoctoral Research Associate to advance AI, operations research, and decision making with applications to workforce policy and reskilling. The project builds on optimization-based models to predict future skill demands in key sectors influenced by AI technologies.

The position involves data analysis, manuscript and grant writing, and collaboration across disciplines.

Qualifications

• PhD or near completion in a quantitative field such as OR, economics, CS, or data science.
• Strong communication and problem-solving skills.
• Background in optimization modeling and econometric/statistical/ML analysis with applied focus.
• Experience with large-scale data analysis and building data pipelines is a plus.
• Fluency with modern AI tools preferred.

Responsibilities

• Maintain laboratory equipment and order supplies as needed.
• Assist in manuscript and grant writing for journals and presentations.
• Collect and analyze data, including literature searches and specialized analyses.
• Conduct research experiments within the department and university scope and methodology.
• Perform additional duties as assigned.

Skills

Data analysis

ML analysis

Optimization modeling

Problem solving

Communication

Education

Doctorate degree in operations research/economics/computer science/data science

Tools

AI tools

Job description

Carnegie Mellon University invites applications for a Postdoctoral Research Associate to advance AI, operations research, and decision making with applications to workforce policy and reskilling. The project builds on optimization-based models to predict future skill demands in key sectors influenced by AI technologies.

The position involves data analysis, manuscript and grant writing, and collaboration across disciplines.