Operational Researcher – ATM Cash Inventory Optimization
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📋 Description
• 12-month project to develop and compare approaches for optimizing the dispensing of banknotes per withdrawal at ATM terminals • Formalization of the problem (variables, physical constraints, objective function) plus a simulation environment using withdrawal histories and Monte Carlo resampling • Development and comparison of three approaches: periodic offline policy; predict-then-optimize combined with reinforcement learning; short-horizon online MIP with fallback • Coordination at the battery level (group of terminals) to align depletion and reduce aggregated refilling • Evaluation against baselines using metrics such as number of refills, time between refills, service rate, latency, and traceability, with paired statistical tests and guaranteed reproducibility • Tools: Python, MIP solvers (Gurobi/CPLEX/CBC) and Git
🎯 Requirements
• PhD or Master's degree • Degree status: currently enrolled or completed • Fields of study: Computer Engineering, Computer Science, Electronic Engineering, Applied Mathematics or Statistics • Mathematical modeling techniques using Operations Research (linear programming, mixed-integer programming, heuristics, etc.) • Experience using solvers (CPLEX, Gurobi, CBC, HiGHS, etc.) • Programming language: Python • Desired knowledge: optimization software, programming languages R, SQL, AWS cloud, Agile methodology (Scrum)
🏖️ Benefits
• Stipend: Master's-level R$ 9,000 and PhD-level R$ 11,000 • Availability: 40 hours per week • Duration: 12 months
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