COMPUTER SCIENCE - INFORMATICS (Artificial Intelligence)
[Closed]
Work description
1) Hybridization of physics-based modelling and AI to create decision-support models for human operators under forecast uncertainty. 2) Distributed learning algorithms and coordination strategies to achieve a global goal where, for instance, aspects such as energy consumption (green AI) is covered by testing their implementation in edge devices. 3) Validate the developed methodologies on real data and different use cases focused on energy transition. 4) Dissemination of the work in international journals and/or conferences.
Minimum profile required
- Previous academic background in Applied Mathematics or Computer Science or Informatics or Electrical Engineering or similar.
Preference factors
Past experience (or academic background) with supervised and reinforcement learning; Academic background in operations research; Programming knowledge in Python.
Application Period
Since 19 Apr 2023 to 31 May 2023
[Closed]
Centre
Power and Energy Systems