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Research Opportunity
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Research Opportunity

Computer Science - Informatics


Work description

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

Academic Qualifications

PhD degree in computer science, mathematics or similar.

Minimum profile required

A minimum of two publications in journals or international conferences.

Preference factors

Experience with time series modelling and forecasting; Knowledge in machine learning methods; Knowledge of programming in Python or R.

Application Period

Since 26 Oct 2022 to 26 Nov 2022


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa