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  • INESC TEC| Post Doctoral Research Grant (BIPD) (AE2024-0018)
    CPES
    INESC TEC

    Research Opportunity

    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


    Academic Qualifications


    PhD degree in: Applied Mathematics; Physics; Computer Science; Electrical and Computer Engineering; Industrial Engineering or similar


    Minimum profile required


    - Past experience with supervised and reinforcement learning


    - Python programming skills


    - A minimum of 2 publications in Q1 journals


    Preference factors


    - Experience in applying reinforcement learning algorithms to engineering problems


    - Knowledge or experience of energy systems problems


    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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