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The WSmart Route+ project studies a new paradigm on smart route management. Data analytics combined with route optimization will be explored to improve service routes (for instance waste collection) cooperation supporting the adoption of a route planning based on dynamic routes as opposed to the traditional blind collection that is based on static routes. The Research problem involves optimization of sensor placement and planning of service routes for several real-world situations (e.g.: Recycling Bin network, Fire detection stations, etc). The student will work with Stochastic and Classical Optimization methods, and Machine Learning, comparing classical algorithms with recent approaches, e.g. deep reinforcement learning or submodularity, and hopefully developing new ones.