Road construction represents a significant portion of supporting an efficient road network. Reducing road construction costs, while maintaining safety standards, is a challenging and exciting area of modern research. The successful applicant will work with a combination of Drs. Y. Lucet, W. Hare, J. Loeppky, and S. Tesfamariam, to advance research in optimization of road design.
Applicants must have completed, or be nearing completion, of a Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related discipline. In addition, they must have strong software engineering and programming skills. The problems in Road Design are wide and varied. As such, the ideal candidate will have expertise covering at least 2 of the following areas (listed alphabetically): Applied Optimization, Derivative-Free Optimization, Linear Programming, Prototype Modeling Software, Network flow optimization, Sensitivity Analysis, Surrogate Modeling, and/or Uncertainty Quantification. In addition, as this is a time sensitive client-based project, the following soft skills are desirable: communication skills with industrial collaborators, project management skills, supervision and mentoring of undergraduate and master's students.
Details on the position and how to apply can be found at https://ocana.ok.ubc.ca/COCANA_PDF.pdf
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