[AISWorld] Postdoctoral Position in Operations Research and Analytics at Carnegie Mellon University

[Peter Zhang]

Dear Colleagues,

The Heinz College at Carnegie Mellon University is now accepting
applications for a postdoctoral research fellow position in operations
research and analytics (https://apply.interfolio.com/104644). The positions
will investigate the role of data and information in decision making, for
the design and operation of equitable and robust systems. Potential
research directions include robust / stochastic optimization & learning,
with applications in supply chain resilience and transportation equity.

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 operations research, statistics,
information systems, and economics.

Candidates should have completed PhD (by Fall 2022) in operations research,
industrial engineering, management science, or computer science, broadly
defined. Successful candidates should have strong preparation in
optimization and / or machine learning. They will report primarily to Prof.
Peter Zhang, 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 Civil and Environmental Engineering, 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.

*Application Link: https://apply.interfolio.com/104644
<https://apply.interfolio.com/104644>*
*Deadline: April 15, 2022 (rolling review starts immediately)*


Peter Zhang

Heinz College of Information Systems and Public Policy
Carnegie Mellon University