Open Positions


OPEN: Postdoctoral Fellow Position 

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 hazards through mathematical modeling, optimization, and risk-informed decision making with respect to vital, large-scale, interdependent civil infrastructure and socio-economic systems.

The successful candidate will serve as a postdoctoral scholar in the NIST-funded Center of Excellence on Risk-Based Community Resilience Planning, conducting research on risk and resilience assessment in the face of natural hazards, and support multi-disciplinary research on community resilience, including design and implementation of interdisciplinary mitigation, recovery, and adaptation frameworks.  Additional information about the Center project can be found at http://resilience.colostate.edu.

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; robust optimization
  • 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 Python is required. Familiarity with physical infrastructure systems and/or economic modeling is highly preferred. GIS experience is a plus.  The position will be supported by funded research projects with multi-year durations.

Job Duties:

  • 70% – Conduct research to support decision-making to enhance community resilience by utilizing determinstic and stochastic optimization approaches and considering physical, social, and economic factors in a complex, interdependent network system. Participate in planning, designing and conducting highly technical and complex research projects under the direction of a supervisor. May or may not work independently. Contribute to the development of  peer-reviewed journal and conference publications.
  • 10% – Oversee the development of Python code for research activities.
  • 10% – Mentor graduate students.
  • 10% – Contribute to the development, preparation and submission of externally funded proposals related to the research program.

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

Application review will begin March 9, 2020, and will continue until a pool of qualified applicants is received. However, review of applications is expected to close by April 24, 2020.


OPEN: Funded PhD Students  

Prof. Charles Nicholson and Prof. Andres Gonzalez in the School of Industrial and Systems Engineering at the University of Oklahoma are seeking applications for multiple 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 hazards through mathematical 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 please send your CV and a one-page statement of research interests to cnicholson @ OU (dot) edu.

Application review will begin March 9, 2020, and will continue until a pool of qualified applicants is received. However, review of applications is expected to close by April 24, 2020.