Post-doc in Short-term Wind and Solar Power
vor 1 Woche
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide.
The EPFL employs more than 6,000 people supporting the three main missions of the institutions:education, research and innovation.
The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
Post-doc in short-term wind and solar power forecasting:
Your mission:
The position will be developed within the recently funded project entitled "UrbanTwin: A urban digital twin for climate action: Assessing policies and solutions for energy, water and infrastructure", as part of the ETH-Joint Initiative funding program.
Main duties and responsibilities include:
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.
We offer:
Salaries in Switzerland are highly competitive internationally.
Start date:
Starting date:
May 2023
Term of employment:
Fixed-term (CDD)
Duration:
Full time (100%) contract renewable every year up to three years.
Remark:
Reference:
Job Nb 2743
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