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  • INESC TEC | Research Grant (BI) (AE2024-0019)
    CPES
    INESC TEC

    Research Opportunity

    COMPUTER SCIENCE - Artificial Intelligence


     

    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 25 Jan 2024 to 24 Feb 2024


     


    Cluster / Centre


    Power and Energy / Power and Energy Systems


    Scientific Advisor


    Ricardo Jorge Bessa


 


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