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Research Opportunity
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Research Opportunity

Last mile routing


Work description

The project is structured into three sequential tasks: 1. Design delivery districts - Develop a model to divide a geographic area into a set of contiguous districts using historical data; 2. Base district sequencing - Use machine-learning methods to determine base district sequencing using historical data; 3. Route optimization - Inter district sequencing and intra districting stops sequencing optimization.

Academic Qualifications

Master in Industrial Engineering, Informatics Engineering, Computer Science or related area.

Minimum profile required

Experience in the following skill(s):- Programming in Python;- Analysis and implementation of optimization models;- Ability to work in group, high autonomy, and organization;- Experience in routing problems;- Knowledge of machine learning techniques.

Preference factors

Programming in C++

Application Period

Since 22 Mar 2023 to 04 Apr 2023



Industrial Engineering and Management

Scientific Advisor

António Galrão Ramos