Industrial Engineering and Management
Work description
- Study the state of the art and different approaches to artificial intelligence and machine learning for estimating effort, duration, and service planning; - Analyze and characterize the data made available within the scope of the project and identify relevant variables for modeling; - Develop, train, and compare different machine learning models; - Define methodologies and metrics for evaluating the predictive performance, robustness, and generalization ability of the models; - Conduct iterative cycles of testing, validation, and fine-tuning of the developed models; - Contribute to the integration and technical validation of the models in a controlled operational context; - Document methodologies, experimental results, and technical recommendations; - Contribute to the technical and scientific dissemination of the project’s non-confidential results.
Academic Qualifications
Bachelor’s degree in industrial engineering and management.
Minimum profile required
Final bachelors's degree average equal to or higher than 18 points.Good knowledge of Data Science and Deep Learning.Previous experience in research projects.
Preference factors
Good command of English. Experience in science communication. Good knowledge of Python programming.
Application Period
Since 21 Aug 2026 to 03 Sep 2026
Centre
Industrial & Systems Engineering and Management