Carnegie Mellon University's AI and Work initiative seeks a Postdoctoral Research Associate to advance research at the intersection of AI, operations research, and decision-making, with applications to workforce policy and reskilling. This project utilizes optimization-based models to predict future skill demands driven by AI technologies. The postdoctoral researcher will contribute to theoretical development, empirical testing, and model evaluation, using simulation and observational data analysis. The role involves collaboration with industry partners and working with public and private datasets, such as ONET and Lightcast. A strong background in operations research/optimization modeling and econometric/statistical/ML analysis, coupled with a passion for applied problem-solving, is essential. Experience with large-scale data analysis, building data pipelines, and fluency in modern AI tools are advantageous. This position offers collaboration with leading scholars in AI/ML, Data Science, Operations Research, and Information Systems, and is led by directors of prominent AI research centers at CMU.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree