Open Positions


OPEN: Postdoctoral Fellow Position — April 14, 2017

Prof. Charles Nicholson in the School of Industrial and Systems Engineering at the University of Oklahoma is actively seeking applications for a postdoc position in Community Resilience.

The primary area of research is with respect to the following broad objective: 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.

Individuals with backgrounds and interests in one or more the following areas are encouraged to apply:

  • Optimization: network flow optimization, multi-objective optimization, stochastic optimization; stochastic programming
  • Data science and analytics: including machine learning for predictive and classification modeling as well as unsupervised and semi-supervised learning
  • Decision modeling for community and regional resilience planning

The postdoc 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.  The post doctoral role will include supervision of multiple PhD students.  Proposal writing experience is preferred.  Experience with tools such as Python and/or R is highly preferred.  Familiarity with physical infrastructure systems and/or economic modeling is a plus.  The position will be supported by funded research projects with multi-year durations.


OPEN: Faculty Seeking PhD Students  — April 14, 2017

Prof. Charles Nicholson in the School of Industrial and Systems Engineering at the University of Oklahoma is actively seeking applications for PhD students to work in the area of Community Resilience.

The primary area of research is with respect to the following broad objective: 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.

Individuals with backgrounds and interests in one or more the following areas are encouraged to apply:

  • Optimization: network flow optimization, multi-objective optimization, stochastic optimization; stochastic programming
  • Data science and analytics: including machine learning for predictive and classification modeling as well as unsupervised and semi-supervised learning
  • Decision modeling for community and regional resilience planning

The individual(s) chosen accepting the position 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.  Experience with tools such as Python or R is preferred.  Familiarity or interest in physical infrastructure systems and/or economic modeling is a plus.  The position will be supported by funded research projects with multi-year durations.


Interested applicants in either opening, please send your CV, a one-page statement of research interests, and an analytical writing sample (e.g., journal article, MS thesis, etc.) to cnicholson @ OU (dot) edu.