Multi-objective Optimization for Dealing with Complex Problems related to Floods

University of São Paulo
Sao Paulo, Brazil
Position Type: 
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified
Degree Required: 


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Hydrological modeling and decision-making processes for flood risk reduction in urban areas are relatively complex as they deal with several decision variables, heterogeneous data sources and multiple criteria to reach a cost and benefit trade-off.

The concept of Cyber-Physical Systems (CPS) can benefit such modeling because of monitoring networks, intelligent processing and human interaction that are inherent to a CPS framework. This project aims at designing a complete urban process network automatically. CPS concept should be used to represent the corresponding (complex) network and the multi-objective evolutionary algorithms to find a trade-off between quality and cost of implementing the solution found.



Ph.D. in Computer Science, Water Resources, Geosciences or related fields, with experience in hydrological and hydraulic modeling, flood risk management, evolutionary computing, and complex networks. English language systems and Python programming. Application: Send an email with the subject "CEPID PostDoc: MO-FRM" to Dr. Alexandre Delbem (, until January 20, 2020, attaching curriculum, a statement of research interests and to contact information for recommendation purpose (do not include letters of recommendation).


This opportunity is open to candidates of any nationalities. The selected candidate will receive a FAPESP´s Post-Doctoral fellowship in the amount of  BRL 7.373,10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship which should be spent in items directly related to the research activity.