To develop machine learning (ML) models to predict the success of university students. To achieve that goal it is necessary to collect and organize data from different academic systems; implement pipelines for the development and deployment of ML models; empirical evaluation of the models obtained with different algorithms on different datasets.
Degree in Informatics Engineering, Computer Science or similar
Minimum profile required
Knowledge in programming (ex: python);Knowledge in database systems (ex. SQL DBMS.);Knowledge in machine learning (ex: supervised learning).
Experience with analyzing data from academic institutions. Experience in Educational Data Mining. Fluency in English and Portuguese (spoken and written)
Since 04 Jan 2021 to 15 Jan 2021
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support
João Mendes Moreira