Prof. Charles Nicholson is currently accepting applications for a postdoctoral research fellow position in Community Resilience within the School of Industrial and Systems Engineering at the University of Oklahoma with a planned start date for Summer/Fall 2020.
This position will support on-going efforts within the NIST-funded Center of Excellence for Risk-Based Community Resilience Planning and will join a large, vibrant team of interdisciplinary researchers from Civil Engineering, Systems Engineering, Economics, and Social Science from multiple Universities across the United States. The position is contingent on Center renewal funding.
The broad objective of the Center is to: enhance community resilience to natural and man-made disasters through modeling, optimization, and risk-informed decision making with respect to vital, large-scale, interdependent civil infrastructure and socio-economic systems.
At the University of Oklahoma, the researcher will join the team headed by Professors Nicholson and Andrés González in the OU Analytics Lab to conduct fundamental research relating to community resilience modeling, algorithms, and decision-support frameworks.
Furthermore, the postdoc will collaborate with the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign in a key role supporting the continued development of the Interdependent Networked Community Resilience Modeling Environment (IN-CORE) — the open-sourced Community Resilience Decision-Support software platform designed, created, and implemented by Center researchers.
Researchers with backgrounds and interests in one or more the following areas are encouraged to apply:
- Mathematical optimization including network flow optimization, multi-objective optimization, stochastic programming and/or robust optimization
- Metaheuristics and approximation algorithms
- Decision modeling for community and regional resilience planning including game theory approaches
The postdoctoral research fellow will embark on an exciting and innovative research program within a well-established and active multidisciplinary research group with collaboration opportunities across the United States. Additionally, in this role, you will also supervise one or more PhD and MS students.
Experience with Python is required. Strong applicants will have demonstrated exemplary writing and communication skills. Familiarity with Civil Infrastructure systems and/or economic modeling is a plus. Some knowledge of machine learning applications is beneficial. Experience and skills in managing projects or people and is preferred.
Contact and applications
Interested applicants please send your CV and a one-page statement of research interests to cnicholson @ OU (dot) edu. Please include “Community Resilience Postdoc Applicant” in the subject line of the email.