Operational Researcher – ATM Cash Inventory Optimization

This is a fully remote position, open to applicants in Brazil.

📋 Description

• A 12-month project aimed at creating and evaluating strategies for optimizing the dispensing of banknotes per withdrawal at ATM terminals.

• Formalization of the problem, including variables, physical constraints, and objective functions, along with a simulation environment utilizing withdrawal histories and Monte Carlo resampling.

• Development and assessment of three strategies: a periodic offline policy; a predict-then-optimize method integrated with reinforcement learning; and a short-horizon online MIP with fallback.

• Coordination at the battery level (a group of terminals) to synchronize depletion and minimize overall refilling requirements.

• Evaluation against baseline metrics such as refill count, time intervals between refills, service rates, latency, and traceability, employing paired statistical tests to ensure reproducibility.

• Tools utilized include Python, MIP solvers (Gurobi/CPLEX/CBC), and Git.

⛳️ Requirements

• A PhD or Master's degree.

• Degree status: either currently enrolled or completed.

• Relevant fields of study include Computer Engineering, Computer Science, Electronic Engineering, Applied Mathematics, or Statistics.

• Proficiency in mathematical modeling techniques using Operations Research, including linear programming, mixed-integer programming, heuristics, etc.

• Experience with solvers such as CPLEX, Gurobi, CBC, HiGHS, etc.

• Proficient in the programming language Python.

• Desired knowledge includes optimization software, programming languages such as R and SQL, AWS cloud services, and Agile methodology (Scrum).

🏝️ Benefits

• Stipend: R$ 9,000 for Master's-level candidates and R$ 11,000 for PhD-level candidates.

• Availability: 40 hours per week.

• Duration: 12 months.