Quantitative methods for decision support and Operations Research
The candidate will conduct research on shared mobility systems and quantitative methods for decision support in this scope. New approaches will be developed to tackle fleet management and pricing problems under uncertainty, namely mathematical models, meta- and matheuristics. There will also be a focus on demand and user behaviour modelling, and simulation and scenario-based tools to deal with uncertainty. This is a collaborative position and thus the candidate will be working with other researchers.
MSc Industrial Engineering and Management, Operational Research, or similar areas.
Minimum profile required
Scientific expertise, namely in operational research. Experience with applied problems. High autonomy. Fluency in object-oriented programming languages as C++. Proficiency in communication in English.
Published papers and work developed in the area of research and/or the application area. Experience with mathematical programming. Good communication skills. Fluency in English, written and spoken.
Since 13 Jun 2018 to 15 Jul 2018
Cluster / Centre
Industry and Innovation / Industrial Engineering and Management