"Postdoctoral Researcher, Critical Technology Initiative - College of Engineering - Engineering and Public Policy"

Postdoctoral Researcher, Critical Technology Initiative - College of Engineering - Engineering and Public Policy

Company: Carnegie Mellon University

Job Location: Pittsburgh, Pennsylvania

Category: Public Administration and Policy

Type: Full-Time

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.

Core Responsibilities:

• Conduct research to inform policy on business practices and technology adoption that realize its multiple objectives (national security, economic prosperity and social welfare objectives).
• Conduct integrative research with other CMU researchers and researchers at affiliated institutions
• Support faculty in advising students.
• Participating in the broader scientific community, including mentoring colleagues and representing the center and/or specific projects at conferences, consortia meetings and other events.
• Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill demand within firms and business processes; develop and test theoretical mechanisms for adoption and diffusion of technology and reorganization of tasks; connect empirical quantitative evidence to theory, and derive policy and business strategy implications
• Other duties as assigned

Qualifications:

• Doctorate degree Required
• 3+ years of relevant research experience. Ideally engaging with a mix of industry, academia and government
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Location: Pittsburgh, PA

Job Function: Pre/Post-Doctoral Associates & Fellows

Position Type: Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time: Full time

Pay Basis: Salary