Research Opportunity
COMPUTER SCIENCE, MATHEMATICS
[Closed]
Work description
1) Adapting the federated learning method developed by INESC TEC for non-linear regression problems. 2) Developing new algorithmic solutions for data markets. 3) Validate the developed methodologies on real data with thousands of time series. 4) Disseminate the work in international journals and/or conferences.
Academic Qualifications
BSc or MSc student in applied informatics, electrical engineering, applied mathematics or similar
Minimum profile required
- Knowledge in one programming language- Knowledge in machine learning algorithms
Preference factors
- Experience in Python programming language - Fluency in English (spoken and written) - Experience in applying machine learning algorithms
Application Period
Since 12 Jan 2022 to 25 Jan 2022
[Closed]
Cluster / Centre
Power and Energy / Power and Energy Systems