项目介绍

2026年2月4日

Main duties and responsibilities

The Wind Engineering and Renewable 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 of renewable energy sources (wind and solar). The successful post-doc candidate will work in the development of hybrid forecasting models combining numerical weather prediction (NWP) models with artificial intelligence (AI) techniques for wind and solar energy production.

Mission

The research framework will involve data collected from various wind and solar power plants in Switzerland and worldwide. By using long time series of wind/solar power production, as well as NWP outputs (big data), the candidate will focus on the development and testing of new forecasting models, with especial emphasis in novel AI-based methods (e.g., deep learning, explainable and physics-informed AI, large language models, etc.).

The position will be developed within the funded project entitled “UrbanTwin: An urban digital twin for climate action: Assessing policies and solutions for energy, water and infrastructure”, as part of the ETH-Joint Initiative funding program.

Profile

In order to qualify for the position, the candidates are required to have:

• A completed PhD degree.
• Experience in machine-learning methods.
• Some skill in at least one of these topics :  

​​​​​- Large data sets analysis

– Statistics and uncertainty analysis (probabilistic)

– Weather modelling (Numerical Weather Prediction)

• Computing experience with Python.
• Excellent English writing and speaking skills.
• Strong peer-reviewed journal publication record.

We offer

• A stimulating and international working environment in the EPFL campus/Lausanne.
• Competitive salary and excellent working conditions.
• Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe.