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sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches
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and temporal resolutions have significantly transformed the way we approach climate and weather forecasting. These technological advancements have paved the way for innovations, such as the integration
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Energy (WiRE) Laboratory at the École polytechnique fédérale de Lausanne (EPFL) is looking to fill a Post-doctoral position in the field of short-term (typically from 6h to 24h) power forecasting
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modeling. The ideal candidate will be responsible for developing and applying probabilistic models to advance time-series analysis. Key areas of focus for this position include: 1)Probability Theory and