MATHEMATICS, COMPUTER SCIENCE
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Work description
The work plan consists of analysing the state of the art in data markets and developing new algorithmic approaches for data markets in the energy sector. These approaches will be validated with real-world data across various use cases to assess robustness, efficiency, and scalability. Subsequently, the results obtained and the respective conclusions will be disseminated in international journals and/or conferences, contributing to the advancement of scientific knowledge and the promotion of innovative technological solutions.
Academic Qualifications
Previous academic background in Computer Engineering, Electrical and Computer Engineering, Computer Science, Applied Mathematics, or a related area;
Minimum profile required
Proficiency programming with PythonSolid understanding of machine learning fundamentals
Preference factors
Knowledge of machine learning methods. Experience in time series forecasting; Ability to analyze and handle large volumes of data; Proficiency in English (written and spoken); Experience with Git (Version Control System);
Application Period
Since 16 Jan 2025 to 16 Feb 2025
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Centre
Power and Energy Systems