Instituto Euvaldo Lodi
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.
Master's/PhD Fellow – Applied Data Scientist, Routing and Scheduling
Job not on LinkedIn
🕒 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.
Instituto Euvaldo Lodi
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.
📋 Description
• 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
🎯 Requirements
• 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
🏖️ Benefits
• Stipend: Master's R$ 9.000,00 and PhD R$ 11.000,00 • Remote work
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