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🗣️🇧🇷🇵🇹 Portuguese Required
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• Optimize workforce routing and scheduling • Data and rules gathering, geographic clustering, predictive models for demand/duration • Implementation of an ALNS solver with custom operators (Adaptive Large Neighborhood Search) • Validation against 4 baselines using backtesting
• PhD or Master's degree • Degree in Computer Engineering, Computer Science, Electronic Engineering, Applied Mathematics, or Statistics • Mathematical modeling techniques using Operations Research • Experience using solvers (CPLEX, Gurobi, CBC, HiGHS) • Programming in Python / Data Science
• Stipend: Master's R$ 9.000,00 and PhD R$ 11.000,00 • Remote work
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