Computer Science - Informatics
1) Adapting the distributed learning method developed by INESC TEC for non-linear regression problems, classification and considering uncertainty. 2) Develop new algorithmic approaches and use cases for data markets. 3) Validate the developed methodologies on real data and different use cases. 4) Dissemination of the work in international journals and/or conferences
PhD degree in computer science, mathematics or similar.
Minimum profile required
A minimum of two publications in journals or international conferences.
Experience with time series modelling and forecasting; Knowledge in machine learning methods; Knowledge of programming in Python or R.
Since 31 Aug 2022 to 13 Sep 2022
Cluster / Centre
Power and Energy / Power and Energy Systems