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 Critical Technology Initiative (CTI) at Carnegie Mellon University brings together interdisciplinary expertise across five schools and colleges to pioneer advanced analytics to ensure public investments and policies maximize competitiveness in technologies critical to national security, economic competitiveness, and the well-being of all citizens. The Critical Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program to inform innovative technical and policy solutions. As a researcher, you will work closely with students and faculty in the College of Engineering, the School of Computer Science, Heinz College of Information Systems and Public Policy, Dietrich College of Humanities and Social Sciences, the Tepper School of Business, other CMU Institutes and Centers across the United States to inform national strategy related to innovation. The research will use novel combinations and timely sources of data to understand the labor impacts of AI. The researcher will deploy an empirical approach to measure and better understand the relationship between business processes and technology adoption, and how these relationships might shape the consequences of AI technology transformation for the substitution or augmentation of workers. The researcher should have general expertise in technology; expertise in a specific technology field is not required. The ideal candidate would have a Ph.D. in science, engineering, or computer science, and analytics experience within industry or government, be able to support the research of students, staff and faculty conducting related research and leverage a wide range of empirics and modeling techniques to conduct research on real-world technology policy problems. The ideal candidate should also have demonstrated skills in working across disciplines. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
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Job Type
Full-time
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees