THIS POSITION IS NO LONGER AVAILABLE
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 between 6h up to a few days) 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 machine learning (ML) tools for wind and solar energy production. The research framework will involve data from the largest Swiss wind and solar power plants. By using long time series of both wind or 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 ML-based tools (e.g., deep learning, stochastic optimization, etc.).
The position will be developed within the recently 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.
Requirements:
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 Matlab and Python (desirable).
·Excellent English writing and speaking skills.
·Strong peer-reviewed journal publication record.
Position conditions:
Full time (100%) contract renewable every year up to three years. Salaries in Switzerland are highly competitive internationally.
Starting date: May 2023.
Application:
Interested candidates should send a single PDF file including CV, a brief research statement and the contact details of 3 reference persons to Prof. Fernando Porté-Agel:
Position Start Date : May 2023
Application Deadline : Open Until Filled
Job Categories : Postdoc Position
Contact : fernando.porte-agel@epfl.ch