Eletrical Engineering
Work description
- Support the integration, specification, and implementation of unit tests and validation of use cases for the Digital Twin and Machine Learning components of the CONVERGE project toolset. - Assist in executing integration tests across different hardware and software modules. - Contribute to the structured collection and annotation of experimental datasets. - Suport the proper dataset storage and versioning in alignment with FAIR principles and project guidelines. - Writing the scholarship activity report.
Academic Qualifications
Enrollment in the Licenciatura in Electrical and Computer Engineering or similar area
Minimum profile required
- Solid programming skills- Experience with machine learning development, including the use of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Preference factors
- Experience with integration or validation of hardware/software systems, including testing frameworks or embedded systems work. - Participation in extracurricular, research, or competition-based electrical/informatics engineering projects.
Application Period
Since 04 Dec 2025 to 19 Dec 2025
Centre
Telecommunications and Multimedia