Computer Science/Informatics
[Closed]
Work description
- Adaptation the distributed learning method developed by INESC TEC for non-linear regression problems, classification and considering uncertainty; - Develop new algorithmic approaches and use cases for data markets; - Validation the developed methodologies on real data and different use cases; - Dissemination of the work in international journals and/or conferences.
Academic Qualifications
Previous academic background in applied mathematics, physics, computer science or similar.
Minimum profile required
Previous academic background in applied mathematics, physics, computer science or similar.
Preference factors
Experience with time series modelling and forecasting; Knowledge in machine learning method; Knowledge of programming in Python or R;
Application Period
Since 05 Apr 2023 to 20 Apr 2023
[Closed]
Centre
Power and Energy Systems