The Heinz College at Carnegie Mellon University invites applications for a postdoctoral research fellow position in the fields of machine learning, statistics, and operations research. This position focuses on exploring the interplay between AI, data, and human expertise in decision-making processes, with the goal of designing and operating trustworthy, reliable, and robust systems.
Potential research directions include, but are not limited to:
Human-centered decision-making
Human-AI collaboration
Uncertainty quantification
Robust optimization
Applications of this research are particularly encouraged in areas such as energy systems and other critical domains.
Research at Heinz College (https://www.heinz.cmu.edu/) is driven by a strong passion to understand and improve our society - in areas such as mobility, statistical fairness, privacy, healthcare management, and the future of work. Successful candidates will join this active group of colleagues with expertise spanning machine learning, operations research, statistics, information systems, and economics. Candidates should have completed PhD (by Fall 2025) in machine learning, statistics, operations research, industrial engineering, management science, or computer science, broadly defined. Successful candidates should have strong preparation in machine learning / statistics / optimization. They will report primarily to Prof. Woody Zhu, and be encouraged to publish in top-tier journals and conferences. They are welcome (not required) to collaborate both within Heinz and across Carnegie Mellon University, including the Tepper School of Business, the Department of Engineering and Public Policy, and the School of Computer Science. They will receive regular mentorship through the lifecycle of the research projects, and be encouraged to disseminate research findings in major conferences and university seminars. The appointment is for one year with the potential to renew, contingent on performance and funding availability.
Carnegie Mellon University
Jan 30, 2025