
501 - 1000 employees
Founded 1969
🤝 B2B
📚 Education
💼 Consulting
B2B • Education • Consulting
IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.
🕒 June 26
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Instituto Euvaldo Lodi's careers page, not through a job board
First seen by Remote Rocketship June 26
Still open on Instituto Euvaldo Lodi's site. Checked 2 days ago.

501 - 1000 employees
Founded 1969
🤝 B2B
📚 Education
💼 Consulting
B2B • Education • Consulting
IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.
• 12-month project to unify Treasury, Shipments and ATM models into a single MIP solution • Assessment of the three models (variables, constraints, interfaces) and historical analysis of instability and misalignments • Unified MIP formulation with coupling constraints across layers • Testing decompositions (Benders, Lagrangian, Dantzig–Wolfe) on increasing instance sizes • Warm-start heuristics (relax-and-fix, fix-and-optimize) to accelerate the solver • Integration of the data pipeline, execution on geographic segments and scaling to national level • Backtesting with 3 months of real data, comparing against baselines and evaluating cost, stability, adherence and runtime • Delivery of a functional prototype, technical documentation and recommendations for phased deployment
• PhD or Master’s degree • Currently enrolled in or graduated in 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 in Python • Desirable: Optimization software (FICO Xpress, AIMMS, others), R, SQL, AWS Cloud, Agile methodology (Scrum), experience with end-to-end projects
• Stipend: Master’s BRL 9,000; PhD BRL 11,000 • Availability: 40 hours per week
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