[DMANET] Postdoctoral Fellowship: University of British Columbia Okanagan, Optimization and Road Design.

The Center for Optimization, Convex Analysis, and Nonsmooth Analysis (COCANA, http://ocana.ok.ubc.ca/) is currently inviting applications for a postdoctoral fellow focused in Optimization and Road Design. COCANA is situated at the University of British Columbia, Okanagan Campus, in the beautiful city of Kelowna, Canada.

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. This position is part of an ongoing project that won the 2019 EURO Operations Research Practice Prize.

The successful candidate will 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 successful candidate will have skills and experience covering at least 2 of the following areas (listed alphabetically): Applied Optimization, Derivative-Free Optimization, Linear Programming, Mathematical Modeling (including Prototype modeling software), Network flow optimization, Surrogate Mathematical Modeling, Sensitivity Analysis, and/or Uncertainty Quantification. In addition, as this is a time sensitive client project, the following soft skills are desirable experience that should be highlighted with the application letter: communication skills with industrial collaborators, project management skill, supervision and mentoring of undergraduate and master's students.

To apply, submit a Cover Letter and CV to

yves.lucet@ubc.ca


The cover letter should clearly indicate, and justify, which areas of experience are applicable. In addition, arrange for 3 reference letters to be sent directly to the above.

This is a 1-year position with renewal for a 2nd year if warranted. Only successful candidates will be contacted. The preferred starting date is January 2020 but summer, fall or even January 2021 start date would be considered.


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