Computer Science
[Closed]
Work description
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.
Academic Qualifications
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).
Preference factors
Experience with analyzing data from academic institutions. Experience in Educational Data Mining. Fluency in English and Portuguese (spoken and written)
Application Period
Since 04 Jan 2021 to 15 Jan 2021
[Closed]
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support
Scientific Advisor
João Mendes Moreira