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optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real-world problems
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optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods
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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches