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Carnegie Mellon University seeks a Postdoctoral Research Associate to advance AI, operations research and decision making with applications to workforce policy. You will work with data from public and private sources to extend optimization models and validate them via simulation and empirical analysis.
The role offers collaboration with leading scholars in AI/ML, Data Science, and Information Systems, with an emphasis on rigorous research and real-world impact.
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands‑on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
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 and their 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 help extend this agenda through theoretical development, empirical testing and evaluation of the model and its calibration via simulation and observational data analysis. The project has industry partners and will offer opportunities to work with public and private data sets.
We are looking for someone with strong foundations in operations research/optimization modeling and econometric/statistical/ml analysis with a passion for applied problem solving. The work will involve large-scale data analysis and work with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI tools.
This position offers 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, who are recipients of a Laude Moonshot award.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at employeeaccess@andrew.cmu.edu or by phone at 412-268-5072.